Revolutionizing Manual Testing: Top Trends to Watch in 2025

Manual testing is vital in the context of software development lifecycle. Although manual testing has undergone significant change over the years, its relevance continues to be of immense value. The manual testing process involves designing test cases on the basis of software specifications as well as requirements.

The year 2025 will definitely mark a transformative phase when it comes to manual testing. Advanced technologies may play a key role in the year. These elements can magnify the importance of manual QA testing services.

Some of the major trends that have been covered in the article are Test Augmentation with AI and ML, Exploratory Testing, Seamless Integration with DevOps, Shift Towards Quality Engineering Mindset, No-Code and Low-Code Testing Platforms, Collaborative Testing with Cross-Functional Teams and Remote and Crowdsourced Testing.

The Current State of Testing

To understand the current state of manual testing, you must understand its role in the Agile Era. Additionally, the current concerns of manual testers cannot be ignored.

Importance of Software Testing in the Agile Era

In the Agile Era, the relevance and importance of manual testing have certainly surged. Without manual testing, it is impossible to think of different aspects of the software development lifecycle, such as usability, exploratory testing, and human-centric design. A trusted manual testing service provider can ensure that holistic testing is conducted to develop well-functional software.

Both manual and automated testing are critical while developing new software. Manual testing can support software quality by leveraging manual skills. Similarly, automated testing is vital to executing diverse test cases by leveraging technology. 

Challenges Faced by Manual Testers Today

At present, Manual Testers face a host of challenges and issues. The common issues that arise include:

  • Manual testing involves considerable time and resources. Thus, the time- and resource-intensive nature of the process can be quite formidable for manual testers.
  • At present, there is a rise in the demand for faster releases. For instance, the popularity of the CI/CD pipeline, which is an automated framework, adds pressure for manual testers. They have to compete with automation which might not be feasible.
  • Scaling manual testing efforts is a daunting task. Hence, the efforts and hard work of manual testers may not be easily recognized.

Top Trends Shaping Manual Testing in 2025

Test Augmentation with AI and ML

Technologies such as AI and ML are certainly revolutionizing the manual testing landscape. Manual testers can use AI-powered tools to perform tests. These tools can certainly assist them with diverse functionalities, including test case design, defect prediction, and test data generation. Some of the main benefits of leveraging advanced technologies are faster and more accurate test planning processes.

Emphasis on Exploratory Testing

In 2025, exploratory testing will undoubtedly take center stage. This is because it can help testers integrate creativity into manual testing to locate bugs. Manual testers who offer manual testing services can certainly improve their exploratory testing skills by understanding the needs of users at a holistic level.

Seamless Integration with DevOps

A top trend that will certainly shape manual testing involves the seamless Integration with DevOps. By fusing the manual testing process with DevOps pipelines and CI/CD workflows, the process can be made more efficient and effective. Furthermore, the trends relating to the application of lightweight tools can support manual testing within agile sprints.

Shift Towards Quality Engineering Mindset

In the near future, there will be a shift towards a quality engineering mindset. Thus, the role of manual testers may change. These testers will definitely become quality advocates within teams. That’s not all! Their role will not be restricted to testing. They will look beyond testing the functionality of the software application and focus on areas such as user experience, performance, and accessibility.

No-Code and Low-Code Testing Platforms

The year 2025 is Lilley to witness a surge in no-code/low-code tools. Such tools can definitely enable ng non-technical testers to execute complex tests efficiently. Using these tools may have numerous implications in relation to manual testing workflows. These workflows are likely to become more streamlined and simpler.

Collaborative Testing with Cross-Functional Teams

Manual testing may undergo change due to the rise in collaboration. Greater collaboration among diverse stakeholders, including developers, testers, designers, and product owners, can strengthen the process. Furthermore, several tools and practices that support seamless teamwork and collaboration, such as Jira, may gain high popularity.

Remote and Crowdsourced Testing

The year 2025 is most likely to witness the rise of distributed teams as well as crowdsourced testing platforms. Remote work can pave a new path for manual testing. Furthermore, manual testers from diverse areas may engage in testing, thereby popularizing the concept of crowdsourced testing. Some of the main advantages of the specific trend include the consideration of diverse perspectives, better flexibility, and an increase in cost-effectiveness.

Conclusion

The manual testing landscape continues to evolve currently. Several trends relating to manual testing have been identified that can reinvent the manual testing process in 2025.

You need to understand that the manual testing process continues to be highly relevant and important. It continues to play a catalytic role in the software development lifecycle process. Testers from the top manual QA testing services company need to embrace these trends so that they can adapt and conduct high-quality manual testing.

This is a guest post by: Harshil Malvi

Author Bio:

Harshil Malvi, Founder & CEO of TabdeltaQA, is an expert in software testing. He leads the company with a focus on delivering high-quality testing services that help businesses create smooth and reliable digital experiences. With skills in automation testing, performance testing, and quality assurance, Harshil is dedicated to making sure software works perfectly and meets the needs of users.

Beyond the Code: Crafting the Perfect Test Automation Strategy

In the ever-evolving world of software development, test automation is a necessity. But effective test automation isn’t just about writing code to automate tests; it’s about creating a strategy that aligns with your team’s goals, ensures optimal coverage, and evolves with your product. Let’s explore how you can craft the perfect test automation strategy, one that goes beyond the code and truly delivers value.

Why Strategy Matters

Many teams dive headfirst into test automation, often tempted by the promise of speed and efficiency. However, without a clear strategy, automation efforts can quickly spiral into chaos. Flaky tests, redundant coverage, and maintenance nightmares become all too common. 

For example, a startup I worked with automated their entire regression suite without prioritizing critical paths. When their checkout system broke due to an API change, the automated tests failed to catch it because they were too focused on miniscule UI tests and edge cases.

The takeaway? A good strategy ensures that your test automation efforts are focused, reliable, and adaptable to change.

Step 1: Define Your Goals

Every automation strategy should start with a clear understanding of your team’s goals. Are you looking to reduce manual testing time? Improve test coverage? Speed up deployment cycles? Align your automation efforts with these objectives.

A fintech company aimed to release updates weekly without compromising quality. Their automation strategy focused on automating critical workflows like fund transfers and account creation while leaving exploratory testing to manual testers. By aligning their automation with their release goals, they achieved faster, safer deployments.

Step 2: Identify What to Automate

Not everything needs to be automated. Even if feasible, not everything would be Valuable to automate. So, we need to prioritize test cases for automation based on their :

  1. Criticality: Focus on features that are essential to your business. For instance, for an e-commerce platform, the checkout flow and payment gateway are non-negotiable.
  2. Frequency: Automate repetitive tasks, such as regression testing, to save time.
  3. Feasibility: Some tests, like those involving visual validation, might be better suited for manual testing or require specialized tools.

A SaaS team struggled with flaky UI tests for edge cases. By refocusing their automation on API-level tests and critical user journeys, they reduced test execution time and improved reliability.

Read More »

Empowering Enterprise Growth with Low-Code Platforms

<This is a guest post by Smith Mac>

In the rapidly evolving modern world, business changes in enterprises are violent and frequent, and therefore, the provision of innovative technological, many enterprise organizations adopt low-code development platforms into enabling the enhanced software development processes’ efficiency. In this conclusive and comprehensive tutorial low code aspect is discussed how it impacts organization and it also answers the critical questions with respect to traditional development to help the business to capture tremendous value in developing Ready Enterprise Applications.

1. Empowering Enterprise Outcomes through Low-Code Development

Low-code development platforms are becoming the key drivers of enterprise digital transformation by easing app development approaches. It reduces the practices of manual coding by a considerable amount, reduces time and cost of development while projecting a market growth of more than thirty percent CAGR by-year 2028. In this regard, low-code, by translating development into graphical interfaces, is the enabler for both IT and business personnel and a way to bring additional efficiency to the organization by improving development team’s velocities thus allowing to quickly adapt to market needs. It is friendly with existing IT environments and enhances legacy frameworks and third-party API for maximum return on investment while renewing applications.

Integrating Competitive Advantage into Operations

Implementation of low-code platforms means relatively increased productivity as organisations experience up to 50% reduction in the time to build application and maintaining them. This efficiency helps IT teams to avoid wasting their time on various usual tasks and shift more focus to unique tasks. However, integrated management and security mechanisms reduce the risks involved with Shadow IT, whilst adhering to stringent regulatory requirements. As more enterprises adopt low-code, they are able to deliver more applications faster to market and be more responsive to changing business requirements.

2. How Low-Code Development helps in Unlocking Enterprise Growth

Many organizations have turned to low-code platforms to ensure efficiency during the development phase and align with the DevOps concept. Forrester has it that low-code can help to speed up application delivery by as much as six times while at the same time halving development costs. This efficiency not only improves the speed for operations but also fosters the fairly essential accelerated rate of innovation for competitive advantage.

Low-code also makes application development more accessible to allow business users who are not IT experts to build applications that they require. It encourages cooperation between departments, ensures that IT works towards business objectives, and speeds up the working cycles to provide better customers’ experiences. Furthermore, the top low-code platforms are security and compliance-oriented as innovative security mechanisms are integrated into the platform to ensure proper protection of data and compliance with relevant regulations, thus reducing risks and increasing confidence.

3. Working Through the Problems of Traditional Software Development for the Enterprise

In the current environment of enterprises, the conventional software development faces issues that slow it down and prevent creativity. Complexity of development cycles and increasing costs are also significant projects issues with 68% of projects reporting delays and 45% reporting that their costs were higher than planned because of poor planning and communication. In addition, such methodologies as waterfall restrict the cross-functional team approach, which creates problems with immediate adaptation to market shifts and slows down time to market of key applications.

The primary social challenges for these enterprises are these hurdles, and therefore working with Agile and DevOps practices. There are mainly the following advantages of using agile methodologies: It encourages cross functional and cross organizational collaboration and thus teamwork, because the conditions are fully supportive of fast responses to changes in requirements and markets. Implementing DevOps does not only facilitate development but also increases deployment rates by 30x and reduces failure rates by 60x. Implementing cloud computing solutions, organizations also advance the use of cloud-native ones and microservices to improve scalability and being competitive in the digital market.

4. Realizing Increased Speed & Innovation with Low-Code Capabilities

Low-code is considered to be influencing the application development profoundly as it cuts across the time required in developing and implementing applications I superior ways. As per estimates, the CAGR is over 20% and these platforms dematerialize processes and include citizens, developers and IT persons. Since competition is high in today’s mart, reducing the time-to-market for new products and features are very critical for organizations.

Making the process of building applications accessible to more users is another advantage that comes with the use of low-code solutions. Benefits of collaboration are the ability of allowing users with different technical applications to change programs, processes and develop improvements, hence enjoying the flexibility of responding to the market and consumers’ feedbacks. Companies using low-code claim that their applications are delivered up to 50% faster, and this increases overall business functionality and customer satisfaction.

Additionally, low code enables CI/CD requirements as essential for today’s DevOps frameworks. These are easily integrated with the existing tools and processes and reduce the time spent and errors in the deployment of the software. This helps to liberate the development teams to concentrate on new value creation, thus increasing the organizational flexibility.

5. The Possibilities of Low-Code Solutions for the High-End Business Applications

Leveraging the full potential of low-code as the foundation for delivering enterprise-level solutions is transforming applications development. For enterprises, it represents that adequate use of low-code can avoid much hand-coding in the development of complicated applications, thus shortening the TTM and improving the flexibility. According to the market report, it will exhibit a CAGR of over 25% by 2028; low-code development platforms enable organisations to deliver new solutions at a greater pace.

Read More »

Dispelling 11 Popular Myths About Low-Code Automation

Low-Code Automation stands out as a transformative powerhouse, redefining how organizations approach application development and workflow processes. This paradigm shift champions efficiency, offering a revolutionary approach to streamline operations and empower businesses to achieve remarkable results with significantly less coding effort. Yet, as Low-Code Automation garners widespread recognition, a series of persistent misconceptions shroud its true potential, impeding the realization of its comprehensive benefits.  

This article embarks on a journey to demystify and dispel these common myths, unraveling the intricacies of Low-Code Automation to reveal its genuine capabilities. As organizations increasingly seek agile and efficient solutions to meet the demands of a rapidly changing digital landscape, understanding the truths behind Low-Code Automation becomes paramount. By unraveling the misconceptions that surround this innovative approach, we aim to illuminate the path toward a more informed and confident adoption of Low-Code solutions. 

Our exploration encompasses 11 prevalent myths that have cast shadows on the transformative capabilities of Low-Code Automation. Through meticulous debunking, we aim to shed light on the true prowess of the Low-Code platform in fostering agility, accelerating development cycles, and enhancing collaboration between developers and non-technical stakeholders. By the end of this journey, it is our aspiration that readers gain a nuanced understanding of Low-Code Automation, unencumbered by common misperceptions, and appreciate its role as a catalyst for efficiency and innovation in the digital realm. 

What is Low-Code Automation 

Low-code automation is a modern approach to application development and business process automation that prioritizes simplicity and efficiency. It utilizes a visual development interface, allowing users to design applications by dragging and dropping pre-built components, minimizing the need for extensive manual coding. This approach accelerates development cycles and enables both professional developers and non-technical users to contribute to the process. 

Key features include a visual development environment, reduced coding requirements, and component reusability. Low-code platforms also emphasize cross-platform compatibility, enabling applications to function seamlessly across various devices. Integration capabilities are a cornerstone, facilitating easy connections with existing systems and data sources. 

One notable aspect of low-code automation is its empowerment of citizen developers—individuals with domain expertise but limited coding skills. This democratization of development fosters collaboration and innovation within organizations. Additionally, low-code platforms often extend beyond application development to include tools for designing and automating workflows, contributing to business process optimization. 

Scalability is a key consideration in low-code solutions, designed to handle the increasing volume and complexity of applications and workflows as an organization grows. Overall, low-code automation plays a pivotal role in digital transformation initiatives, offering a more accessible and efficient way to develop software solutions, automate processes, and adapt swiftly to changing market demands. It represents a shift towards a culture of continuous improvement and innovation in application development and business operations. 

Unmasking 11 Common Myths About Low-Code Automation 

Low-Code Automation Is Only for Simple Applications 

One prevailing misconception is that low-code automation is limited to simple applications. In reality, low-code platforms are robust enough to handle complex business processes, including intricate workflow management and app integration. These platforms provide the flexibility needed for both simple and complex application development. 

Low-Code Implies No Coding at All (Low Code No Code) 

While “Low Code No Code” is a popular term associated with these platforms, it doesn’t mean zero coding. Low-code platforms still involve coding, but at a higher abstraction level, allowing developers to work more efficiently. They offer the benefit of reducing the amount of manual coding required, but coding expertise is still valuable for customization and complex scenarios. 

Low-Code Solutions Sacrifice Customization 

Some believe that opting for a low-code platform means sacrificing customization. In reality, these platforms are designed to strike a balance between speed and flexibility. They offer customization options for developers while empowering non-developers to contribute to the development process. 

Low-Code Is Only for Citizen Developers 

Low-code platforms are often associated with citizen developers, but this doesn’t mean they’re exclusively for non-professional developers. They empower both professional developers and business users, fostering collaboration and allowing organizations to leverage the expertise of different stakeholders.  

Low-Code Solutions Lack Scalability 

A common misconception is that low-code solutions lack scalability. In truth, many low-code platforms are designed to scale with the growing needs of businesses. They provide the infrastructure and tools to handle increased complexity and a higher volume of applications. 

Low-Code Is Only Suitable for Small Businesses 

Contrary to the belief that low-code is only suitable for small businesses, these platforms are scalable and adaptable to the needs of enterprises of all sizes. Large organizations benefit from the accelerated development cycles and the ability to respond quickly to changing market demands. 

Low-Code Solutions Compromise Security 

Security concerns often arise when discussing low-code solutions. However, reputable low-code platforms prioritize security features, providing built-in measures to safeguard applications. As with any technology, it’s crucial to implement security best practices during development. 

Low-Code Automation Is a Passing Trend 

Some skeptics view low-code automation as a passing trend. On the contrary, it is a transformative approach that continues to gain momentum. The agility and efficiency offered by low-code platforms make them a long-term solution for organizations aiming to stay competitive in the digital landscape. 

Low-Code Platforms are One-Size-Fits-All 

Another misconception is that low-code platforms are rigid and one-size-fits-all. In reality, these platforms are designed to be adaptable, offering a range of tools and features that can be customized to suit specific business requirements and industries. 

Low-Code Is Only for Creating Apps 

While low-code platforms are excellent for app development, they are not limited to it. Many platforms support end-to-end digital automation platforms, allowing organizations to streamline various processes beyond app creation, including low code workflow automation software and data integration. 

Low-Code Solutions Are Cost-Prohibitive 

There’s a misconception that implementing low-code solutions is cost-prohibitive. In fact, low-code platforms can lead to cost savings by reducing development time and enabling organizations to allocate resources more efficiently. The initial investment is often outweighed by the long-term benefits of increased productivity and agility. 

Conclusion 

As organizations navigate the digital landscape, debunking these common misconceptions surrounding Low-Code Automation is crucial. Understanding the true capabilities of low-code platforms – from scalability and security to customization and versatility – empowers businesses to make informed decisions. Embracing the power of low-code automation can propel organizations towards a more efficient, collaborative, and innovative future. 

<This is a guest post by Yoroflow>

How to Decide if You Should Automate a Test Case

Test automation is imperative for the fast-paced agile projects of today. Testers need to continuously plan, design and execute automated tests to ensure the quality of the software. But the most important task is to decide what to automate first.

In my article published on the TestRail Quality Hub, I have compiled & shared a list of questions to help you prioritise what you should automate next and guide your test automation strategy.

Here is a checklist of questions to ask yourself as you decide on automating a Test Case–

*******

Is the test going to be repeated?

Is it a high-priority feature? 

Do you need to run the test with multiple datasets or paths? 

Is it a Regression or Smoke Test?

Does this automation lie within the feasibility of your chosen test automation tool?

Is the area of your app that this is testing prone to change?

Is it a Random Negative Test?

Can these tests be executed in parallel, or only in sequential order?

Are you doing it only for the reports?

********

For the detailed explanation of each of these points, read the complete article here –>

How to Decide if You Should Automate a Test Case

Test automation is imperative for the fast-paced agile projects of today. Testers need to continuously plan, design and execute automated tests to ensure the quality of the software. But the most important task is to decide what to automate first. 

In my article published at the Gurock Blog website, I have have compiled a list of questions to help you prioritize what you should automate next and guide your test automation strategy.

Think of this like a checklist that helps you make automation decisions quickly and effectively and create a standard process around them for your team to follow. Here are the list of questions to ask yourself.

Do check out the complete article for a detailed discussion on each of these-

Is the test going to be repeated?

Is it a high-priority feature?

Do you need to run the test with multiple datasets or paths? 

Is it a Regression or Smoke Test?

Does this automation lie within the feasibility of your chosen test automation tool?

Is the area of your app that this is testing prone to change?

Is it a Random Negative Test?

Can these tests be executed in parallel, or only in sequential order?

Are you doing it only for the reports?

Test automation tools will provide you with useful insights into the quality of the software that you can showcase with the use of some insightful reports. But are these reports the only reason you are looking at automation? Just looking at the red or green status results of the test reports might not be the best way to assess the software quality. You will need to spend time analyzing the tests that failed, why they failed, and what needs to be corrected. Tests created once will need maintenance and continuous monitoring to keep them up to date. All of that needs to be kept in mind and the effort needs to be accounted for.

There is more to test automation than just the fancy reports!

Looking at the questions above, analyse the state of your test case, the intent behind its automation, and its feasibility, as well as the value that you might get out of it. Hope that helps you decide what tests you should or should not be picking for automation!

<Image credits – https://unsplash.com/photos/FlPc9_VocJ4 >

Introduction to ERP Testing and its Importance

<This is a guest post by Sohaib Zaidi>

In this era of cut-throat competition, global enterprises are facing tremendous pressure to enhance efficiency, reduce costs, increase sales and profitability. For this, more and more enterprises are embracing ERP (Enterprise Resource Planning) software. Apart from enabling enterprises to make accurate, informed and strategic decisions, ERP also helps them to stay compliant. Though the benefits of introducing cloud ERP solutions to your business are countless, yet these benefits come with several challenges.

Enterprises that have already embraced cloud are struggling to keep pace with the frequency of ERP software updates. ERP vendors like Oracle, SAP, Microsoft, Salesforce, etc are rolling out new releases and patches on monthly, quarterly, or biannually. Since cloud updates are rolled out at quick succession, enterprises are finding it hard to quickly test the updates and deploy these to production. Here arises the need of ERP testing

Why is it necessary to test ERP updates before deployment to production?

ERP updates bring new features and functionality, customer enhancement requests, and patches from previous releases. These updates need to be tested regressively since there are chances that they can impact a variety of functions that may cause disruption to business continuity. So, it is always recommended that before rolling out the ERP updates, QA teams should test critical business processes, validate reports, key workflows and test critical integrations with other applications.

Though manual application testing approach is still prevalent but it cannot be considered as a reliable solution in case of ERP testing. To understand this better, let us discuss an example of Oracle ERP. Oracle rolls out quarterly updates. These updates are first introduced to non-production environments. Oracle offers two weeks’ time to test these updates and raise issues. After two weeks, these get applied to the production environment. So, performing Oracle testing manually for these updates is non-feasible. Apart from time-consuming, manual testing is error prone, fragile and costly. Another disadvantage associated with manual testing is that it can adversely impact business continuity due to limited test coverage and its inability to identify change impact.

Embrace Automation Testing for seamless cloud adoption

Test automation not only reduces testing time of complex ERP systems but also ensures robust software quality. The biggest perks associated with test automation are maximum accuracy with minimum efforts, quick feedback, accelerated results, lower costs, and maximum coverage. Most of the test automation tools perform post release impact analysis to identify the impacted areas. Based on the impact assessment, QA teams can generate most relevant tests to execute validation. This not only defines the accurate testing scope but also delivers wider coverage which is not possible while performing manual testing.

When enterprises use test automation for security testing and constant maintenance, they get the opportunity to easily recognize defects. This approach significantly reduces vulnerabilities, helping enterprises to keep huge losses at bay. Automated testing also helps enterprises to overcome challenges of drowsy routine procedures crop up due to manual testing. Leveraging test automation tools, enterprises can accelerate routine procedures that consume time and cost to ensure a quick turnaround and superior ROI.

Author – Sohaib Zaidi – in his own words-
 
I am a technology enthusiast and professional writer with experience across niches like digital transformation, AI, IoT, & test automation. I love to write technology in simple tone so that readers can easily understand how embracing technology can deliver greater outcomes.    

Is Test Automation Alienating Your Business Testers?

With numerous test automation tools and frameworks available today, many in the software testing industry are focused on learning them all. It is important to stay updated with new technology. But are testers losing something in the race to become more technical and equipped with automation skills?

In my article published at TestRail blog, I examine ways to see if your test automation is becoming so technical and code-intensive that it’s in danger of alienating the subject-matter expert testers who best know the core of your business?

Technology should serve people

It is important to understand and remember that test automation tools have been designed to make testers’ lives easier and better. They are not intended to replace testers or overpower them. They make tests execute faster, with more accuracy and fewer errors, so if they eliminate anything, it is redundancy and repetitive work. This technology is meant to serve testers — to save their time and effort and give them more freedom.

To this end, the first intent behind adopting any technology must be its fitness for use in the project, not its popularity in the market. The skills needed to adopt the tool and begin using it in the project should be easily obtained by hands-on learning or training. Read full article ->

Testing is creative

Testing is a creative job, and it always has been. The advent of new tools and technology has not changed this fact. Tools can do part of a tester’s job, but they still cannot test. Although some people may argue on behalf of artificial intelligence and machine learning that can take over many actively creative aspects, we are not there yet. We still want and need a human to capture the creative tests, discuss the pros and cons of design aspects, peer-review test cases, and report problems.

Everyone can contribute to test automation

When we look at testers’ resumes, the tendency is to look for tools they can work with. But the more important skill we need is their ability to contribute to test automation in one way or another. We cannot judge this fact just by asking if a person is able to write test automation scripts or knows a certain programming language. They may be able to learn the Gherkin format to design and write feature files for Cucumber tests. Or if you decide to adopt a keyword-driven framework, they could pick up the keywords and begin writing tests so that the same test cases can double as test scripts.

Read More »

Four Things That Can Sabotage a Sprint

Success and failure are a part of any journey. For agile teams, continuous delivery is the expectation, and that may be a hard thing to achieve. As sprints go on and tasks pile up, we may deter from the path.

Whether your team is beginning their agile journey or are already agile pros, you are bound to encounter a failed sprint at some point.

When do you deem a sprint as failed? Why does a sprint fail? What are the possible reasons, and how can you learn from the mistakes to avoid them in the future? In my article published at TestRail blog – I examine four possible reasons for a failed sprint.

Read the complete article at https://blog.gurock.com/four-things-sabotage-sprint/

Bad Estimation

Estimates cannot be completely accurate every time. But when the agile team fails to see the correct depth or complexity of a task or a user story, the estimates may go haywire, leading to a big diversion from planned timelines within the sprint.

Incoherent Definition of Done

To ensure true completeness, we must list coherent and agreed-upon definitions of done for each type of task we undertake within a sprint, be it development, testing, design, review tasks or test automation. This makes it easier to keep track of the quality of work and get every person’s understanding of the expected work on the same page.

Incomplete Stories

More often than not, user stories being developed in the sprint get stuck at some tricky juncture toward the end. Situations may arise where you reached the last day of the sprint but there are still things holding up the team:

  • Development of the story was completed but testing is still underway
  • Developers and testers paired to conduct tests but some critical issues remain in the feature that need fixing
  • Development and testing are completed but the automation script is yet to be created for regression of the feature (and automation was part of the exit criteria for the user story)
  • Code review is pending, although it is already checked in and working fine
  • Tests for the user story were not added to the test management system even though the tester has performed exploratory tests

Due to any of these reasons or a similar situation, the user story will be incomplete at the end of the sprint. At this point, that feature cannot be deemed fit for release and cannot be counted as delivered.

Technical Debt

In a fast-paced agile environment, we cannot shirk off any part of our work or leave it for later. This becomes technical debt that is hard to pay off. The longer we do not pick up the task, the harder it gets to find the time and spend the effort on it while working on ongoing tasks at the same pace… Continue Reading

Speaking at the DevOps & Agile Testing Summit – 8Nov’19, Bangalore

I was invited to speak at the DevOps and Agile testing Summit organised and conducted by 1.21GWs on 8th Nov 2019 at Bangalore. It was a great event which brought together many keen minds as delegates and many inspiring speakers. https://1point21gws.com/devops/bangalore/

My talk was on “The Building Blocks of a Robust Test Automation Strategy”. As we know testing teams are faced with a number of questions, decisions and challenges throughout their test automation journey. But there is no single solution for their varied problems! In this talk I outlined a number of strategies that agile teams can follow– be it their selection of what to automate and how much, what approaches to follow, whom to involve, and when to schedule these tasks so that the releases are of best quality.

I am grateful that my talk was so well received and led to great discussions later with many participants. I enjoyed the day and am always glad to be invited by the 1.21GWs team.

A peek into the event – pictures from my session

@Sahi Pro was also a knowledge partner at the event and delegates also got a peek into Sahi Pro via video and brochure handouts.

Looking forward to many more successful events! 🙂