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Software Testing Metrics

Software Testing Metrics

Welcome to Codoid blogs once again, in this blog we are going to see about software testing metrics. Below are the topics we will cover in this blog.

What is a Metric

Why Metric is required

Types of Metrics in Testing

Testing Metrics in Detail

What is a Metric

As per standard definition, A Metric is a quantifiable measure to track the progress of certain areas which we want to constantly monitor and report.

Metric is used to predict something which we wanted to measure and we can set a benchmark for it so that we can compare it with a certain interval of time. Example) Speed which we travel can be a metric and we can keep a benchmark as 48 kmph. We can constantly measure every day or every week and we can compare against our benchmark.

Why Metric is required:

1. Metric will help us to give us a prediction on how are we performing.

2. It gives us direction on how we perform release after release to ensure we are constantly improving. If there is a decline in performance, we can take corrective steps to improve that particular factor

3. It helps us to uncover potential risks in our project.

(Example, We are targeting to go live on a date assuming 10 days of Test Execution with 20 TC / Day productivity, Let’s assume for consecutive 5 days productivity is only 10 TC / Day, this could eventually delay our execution by 5 more days and will delay the release. It is a potential risk to the project. On tracking this execution productivity on a day to day basis during execution timeline, will tap the project in our control, we could take action on 2nd day itself and keep the project on track.)

4. Improves the Test Coverage and Automation coverage.

5. It helps in continuous process improvement, once we become mature in a way of tracking, we could add a few more metrics and helps in coming up with continuous improvement in our project delivery.

6. It helps to plan for release in a better way. As with each and every release, if we track metrics, we could use predictions and with the lessons learned from previous releases, we can come up with better planning.

7. It overall improves the Cost, Quality and Time in delivering the project.

Types of Metrics in Testing

Based on the STLC phases, we can define metrics for each phase of Testing. Let us see them in detail in this section.
STLC Phases are:

Requirement Analysis

Test Planning

Test Design

Test Execution

Test Closure

And for each of these phases we have multiple metrics to track.

Testing Metrics in Detail

Requirement Analysis

Requirement Quality:

Requirement Quality defines the correctness/accuracy of the requirement.

Requirement Quality - Testing Metrics

IRQ – is the quality of Individual requirements which signifies whether the requirement is valid (value 1) or invalid (value 0). It can be measured in percentage as well.

Correctness of Requirement:

This metrics helps us to determine if the requirement is correct/valid/is not a duplicate.

Requirement Correctness - Testing Metrics

IRC will be 1, if it is a valid requirement, else it will be 0

Requirement Creep:

This metric helps to understand how much percentage of requirements added post requirement gathering phase.

Requirement Creep - Testing Metrics

Test Planning

Metrics in Test Planning is used to arrive at how effective testing is carried out. We track and tap the control of the project by taking various measurements during Test Design and Test Execution activities. Below are the few measurement criteria that help in the effective Test Planning

Resource Requirement Vs Fulfilment

Effort burnt VS Progress

Cost Spent Vs Work Done

Cost Spent Vs Requirement Coverage

Overhead Cost

Team productivity

Test Design

Test design is the most important phase in Software Testing. There are a lot of metrics that can be generated in Test Design phase and will be useful to management for tracking purpose.

Some of the Metrics with formula are given below:

Test Design - Testing Metrics

Test Execution

Below are few standard metrics used in Test Execution phase:

Test Execution 1 - Testing Metrics

Test Execution 2 - Testing Metrics

Test Closure:

Test Closure - Testing Metrics

Defects by priority and severity will be tracked as a part of Test closure report

Conclusion:

Testing Metrics are helping us to track our progress and improve our delivery quality in a better way. There are so many metrics available to track the progress and Test Management tools nowadays are better equipped with various features to track these metrics and it also has various customization mechanism to track custom metrics rather than following standard metrics, we should first finalize KPI and Metrics for our measuring the performance and utilize these tools features to satisfy our requirement.

Learn all about Usability Testing with us

Learn all about Usability Testing with us

This blog was written with the purpose of being a complete guide to usability testing. Usability testing ensures that the interface of your app is built to fit the end-user expectations and incorporates easy usage, learnability of the system, and user experience satisfaction. It has many dimensions where usability tests translate your app’s experience into a successful validation process.

So when do you need to conduct usability testing?

The earlier a defect is found, the better in the Software Development Lifecycle (SDLC) it will be cheaper to fix. Since usability test results affect the design of the product, it should start at the same level as the software (to undergo changes) throughout the SDLC process. Continuous and rigorous testing will yield maximum results. As an internal process, designers and developers on the project perform the testing to analyze the system for design and code to be modified as per the changes detected in the usability testing phase.

Here are some methods of usability testing:

Usability tests validate if the software is how a user would like it to be and whether it is a comfortable and holistic experience for the user.

  • During the design phase – Draw your app/website design and evaluate its workability.
  • In the build phase – Randomly test to determine the app’s usability factors.
  • Hire real-time users to use your app/website and report results.
  • Check statistics based on the input wireframes.
  • Employ a QA services company that specializes in the usability testing field

Standard types of usability tests:

Guerilla usability testing Set up your tests where there is a lot of traffic, which allows you to ask passers-by for feedback of your app/website to evaluate user experience.

Unmoderated usability testing Uses third-party software to recruit ideal sample users for your test to interact with your app/website in their natural environment while recording their task completion to give you objective feedback.

Moderated usability testing Interacts with sample users in person or via video call to elaborate on their comments or help users understand tasks and keep them on track.

Now let’s discuss the 9 phases of usability testing,

Phase 1: Decide which part of your application/website you’ll test.Do you have particular concerns with your interaction or workflow? Want to know what your users will do on your product page? List your app/website’s pros and cons and create a concrete hypothesis for your testing.

Phase 2: Pick your test tasks. Your sample user’s task should be similar to your end-users goals with your app/website when they interact with it, for example, while transacting a purchase.

Phase 3: Set a level for success. Decide what you want to test and how you plan to check it and then accordingly set criteria to determine success levels for each task. Establishing a measurement for success/failure helps determine if your app/website’s user experience is intuitively designed.

Phase 4: Write scripts and plan tests. The purpose of the tests should be added to the beginning of your script and must include what you’ll be recording during the testing phase of your app/website. Gather knowledge of your sample user while they perform the tasks to make your test consistent and unbiased.

Phase 5: Assign roles. While testing usability ensures that your moderator is neutral while guiding sample users through the tasks mentioned in the script. During the testing, ensure notes are taken, which will later help extract insights to prove your hypothesis.

Phase 6: Identify your sample users. Recruitment of a sample user base and keep it small during every testing phase to ensure it resembles your actual user base as closely as possible.

Phase 7: Conduct the tests. During the testing, check if your sample users can complete tasks one at a time without assistance because the results from the testing can diagnose the pros and cons of your design.

Phase 8: Analyze results. The results obtained after testing will help you discover problem patterns so you can assess the severity of each usability issue. While examining the data, please pay attention to user performance and their feelings about your app/website.

Phase 9: Review and report findings. Insights from your results will help layout the next steps to improve your app/website’s design. Correct enhancements can be done before the next round of testing.

In Conclusion:

Usability testing is, therefore, vital as it is a great technique to help your UX designers in your development team by giving them the necessary insight on how their users interact with the final app/website. Always employ one of the top QA companies to carry out your Usability Testing to make sure you can apply appropriate techniques to improve the quality and design of your app/website and that the end product is user-centered. Codoid is considered an industry expert on usability, and we would be happy to help you out with your next launch.

Test Case Management in Jira

Test Case Management in Jira

Test Case Management in Jira eases Software quality assurance activities during sprint. Nowadays, we almost have all the required project management functions in Jira. If you are managing test cases outside Jira, it will be a cumbersome task to share test results to your team. Even if you share the results in Excel format in attachment section in a Jira ticket, it will not provide the following flexibility – aligning test executions in test cycles for selected release and tracking software testing metrics for each sprint.

Challenges

  • If you are updating a test step status in local excel sheet, your team cannot view the test result as and when it is needed.
  • Managing test cases and test executions in a separate tool. Consider, you are using a test case management tool which does not have Jira integration, then it will be a tough time for your team to link and communicate the defects in Jira.
  • Creating and organizing test plans. If Jira is used for project management, then publishing the test plan in Jira project should be the right choice. Once the test manager creates the plan, it needs to be shared to the entire team.

Jira Plugins

There are many modern Jira plugins available for test case management in Jira. Let’s review them one by one.

Zephyr it is a well known plugin for test case management in Jira. You can create test cases, test cycles, and track QA metrics using Zephyr. If you have automation test scripts, then you can update test cases status in Zephyr by calling its endpoints. We, as a software testing company, use Zephyr for multiple testing projects.

Xray You can manage all your Tests as Jira issues using Xray. If you want to write Gherkin Scenarios in Jira, then you can specify and integrate with test automation frameworks.

synapseRT This is a suitable plugin for waterfall model or an independent testing project. You can trace all the way from requirements to bugs. Also, manage requirement versioning & baselining and organize Test Cases in a Tree Format with the help of Test Suites.

Test Management The Test Management plugin is another tool supported by Jira. It has similar components to those of synapseRT and Zephyr, and facilitates test case creation and managing test cases using the different test suites.

TM4J TM4J is a QA & Test Management app for Jira. You can manage your test assets in single repository for quick access and reduced redundancy and reuse test cases across your projects, releases and sprints for regression.

TestFLO The most flexible test management plugin for Jira. Requirements testing, test case management and test reporting directly in Jira.

Test Collab You can quickly manage test cases from Test Collab, assign test executions, maintain Many-to-Many relationship Jira using Test Collab.

QMetry QMetry Test Management for Jira – the best test management app in Jira helps make Jira a full ALM solution covering from requirements management, project management to test management.

TestRail The top selling and modern test management tool to efficiently run your QA & testing efforts. Used by teams at companies such as Atlassian, Apple, Microsoft & Amazon, TestRail is a great choice for teams of all sizes. To use this plugin, you need TestRail account.

PractiTest It is a free for PractiTest users. You can report bugs directly to Jira from PractiTest with reproduction steps.

In Conclusion:

As a software testing services company, writing quality test cases and managing them effectively is vital role to provide high-quality QA services. Organizing & managing test cases in Jira enables better collaboration among testers and developers. Contact Us for your software testing needs.

Top Software Testing trends to get on board in 2020

Top Software Testing trends to get on board in 2020

2020 has just begun, but there are already plenty of advancements in the world of testing, some of these trends that will dominate are Artificial Intelligence (AI), Machine Learning (ML), and Internet of Things (IoT) to name a few. QA services provided by specialized QA companies and their teams are more adept at helping you implement these latest trends into your software testing process. There were many prominent trends in 2019 in the software testing landscape as the automation testing industry is dynamic, and our team has made some predictions on where things are headed this year

Machine Learning

Almost 2/5th of all companies are looking to implement ML projects, and industry experts believe that this number is likely to skyrocket in the coming years . But despite the assuring prospects of ML application, the concept is still in its nascent stage in software testing. So there are multiple challenges present for it to move on to the next level. There is an increasing demand for ML, and QA teams know that it is time for them to acquire skill sets like data science, statistics, and maths. These skills will complement core domain skills in automation testing and software development engineering testing

AI

Testers adopt a combination of AI skills and traditional skills, and this has lead to new job profiles like AI Quality Assurance (QA) analyst and data scientist. Nowadays, automation tool developers, focus on practical building tools and companies reassess options based on their budget to make the best use of information gained from AI. Such tools need to meet cost-efficiency and technical aspect requirements of the business, like read production logs, respond to production activities, and generate test scenarios.

DevOps

Test automation in agile teams is now more established because nearly 50% of IT companies are automating half their testing, and the adoption rate is only going to ascend this year. Companies adopt Agile and DevOps practices to increase the quality and speed of software development in test automation processes. Test automation performs repeated tasks, to detect bugs quicker, and render perpetual feedback loops, ensuring test coverage. Companies thus save a significant cut on costs, time, and personnel when they integrate automation testing in their QA process.

Data Mining

QA teams must combine automated and manual testing to achieve the best software quality. Developers must continually update themselves by learning about new tools and upgrading the system accordingly. Extensive data can be easily deciphered, and AI and ML will help you make better decisions by enhancing your market strategies through precise data validations. Such enormous data is anticipated to increase at an exponential rate since industries are shifting towards a data-oriented world, and the need for testing big data applications is on the rise.

IoT

The number of IoT devices around the world is estimated to reach 20.5 billion by the end of this year, and so it is evident that it must undergo testing. It will check security assurance, data integrity evaluation, ease of use, device compatibility, scalability, etc. IoT testing engineers have a lot of work, especially in monitoring communication protocols and operating systems. QA teams are expected to enhance their knowledge and skills to conduct successful usability,security, and performance IoT testing.

Cybersecurity

The digital revolution comes with plenty of security threats, and we must recognize the importance of security testing for our software, systems, applications, and network. Software teams have to ensure products are resilient to threats and take cybersecurity seriously so that risk compliances are covered. Security testing helps secure money and data transactions and also protects your end-users.

In conclusion

The seven listed trends will give you a sneak peek into the current prevailing software testing trends of 2020. As one of the best QA companies out there, we believe that the digital transformation is continually evolving; testing engineers, and software product enterprises alike. We should, therefore, stay abreast of the latest changes and innovations and inform quality assurance teams to take these trends into account while building their strategies, so that you can climb the ladder of success.

What is Continuous Testing?

What is Continuous Testing?

by | Feb 21, 2020 | Software Testing, Fixed, Blog | 0 comments

Continuous Testing is the method of providing feedback to the project stakeholders on quality of build through automated test execution as soon as the build is deployed with the help of QA tool stacks.

Since in the Traditional Software world, there is a waiting period of the development team to receive the feedback from the testing team post-deployment of code, which consecutively delayed the delivery. Continuous Testing came up with the approach of Test Quickly, Test Often and Test everything which helped to improve the code quality and quality of delivery by shortening the delivery cycle through the automated way.

By building the delivery pipeline where automated builds, test, and deployment are Orchestrated in one release workflow, there is seamless feedback on the each of the pipelines and based on the success of each of the pipeline process continues which helps to assess the quality of the release.

Why Continuous Testing (CT)?

It helps tightly connect Testing with Development and Operations team to ensure quicker time to market with better quality and saves cost

Instant feedback to developers and stakeholders on code quality and functional coverage to course-correct

Releasing with speed without quality is compromising Customer objective and hence CT should be plugged into CI and CD to deliver speed with quality to meet Client objective

Agile is shortening the release cycle with maximizing delivery throughput. 90% of delivery happens through Agile practices across Organization and hence DevOps (CI/CD/CT) is the key to meet this objective.

Key of Digital Transformation (which is swiftly happening in later 2018) for any customer is quality and the way to achieve with speed is through Continuous Testing

Popular Tool Stacks

Continuous Testing

Steps to achieve Continuous Testing:

Assess the number of Applications in-scope

Assess the Application category-UI (Web / Windows), API, Database, and The infrastructure needed for Application to be executed.

Criticality of Application

Number of Test cases / Application

Tooling Strategy

Validate and Assess CI / CD methodology

Framework Requirement Assessment for CI / CD Integration

Build Framework

Validate CT pipeline

Build sanity automation scripts

Integrate with CI / CD pipeline

Fine-tune framework and Test Automation approach

Start building Automation suites to achieve CI/CD/CT

Plan for N and N-1 Automation based on Organization goal

Assess the number of Applications in scope:

1) Before going to Continuous Testing, we need to assess the total number of Applications which need to be moved to CT pipeline needs to be assessed

2) This can be decided based on understanding the lifespan of Application, number of releases (major / minor / Fix release or Trivial) / year, stakeholder understanding and operational users type of this application

Assess the Application Category

1) Based on the number of Applications and its lifespan, understand the technology in which it is built with. Classify the Application type (UI, API, DB or any of 2 or 3 combinations)

2) Classify the Application based on the infrastructure as well. Some Application will work in Linux, some may support Windows as well as Linux etc. Also classify based on Mobile or other technology

Criticality of Application:

Below are the key factors that determine the criticality of Application:

Reputation damage if implemented wrongly or of any quality issue

Financial loss to company

Operational risk

Sensitive information leakage

Legal violation

Number of Test cases per Application

This is as good as understanding the size of Application

Regression Test cases created till date

We also need to categorize this based on UI, DB, API, etc

Tooling Strategy

Below are the pointers that will help to decide the tooling strategy

Organization policy

Organization support to Commercial tools / Open source tool

Organization willingness to invest in tools

Organization willingness to invest on tool training

Feasibility approach outcome / Application

Application classification and the tools support

Level of 3rd party customization involved from the development aspect

Tools support for CT (Integration support with other tools like Test Management, Reporting, Build Management, configuration management, etc)

Validate and assess CI / CD methodology

In order to achieve success in CT, Automation tool and CT requirement should meet the CI / CD requirement as well so that all 3 can communicate to each other successfully and deliver the desired result.

Example If the development team is working on Orchestration on a particular tool like Jenkins and if a Testing team is working on a tool which does not support Jenkins or which require additional effort to bring in this integration, then it is not advisable to use that tool for CT requirement. We should opt for a different tool which has ready-built support for Jenkins. Hence understanding CI / CD requirement beforehand is essential to reduce the effort from CT perspective in the later stage.

Framework Requirement Assessment for CI / CD Integration

Once tooling strategy is complete and CI / CD methodology also assessed, we can understand the Framework requirement to meet CT requirement.

Below are the additional feature expected in Framework for CT:

Re-usable libraries to support for multiple technologies and different object classification

Incorporation of BDD. BDD is a process where Business Analyst, Development team and Automation Testers come closer to work together to extend the functionality based on each release. Features are added by Business Analyst, The development team shares the wireframe + Object information to the Testing team and Automation team adds the code required to add this additional feature.

Connectivity with Test Management tool for reporting purposes. Good Automation framework should have automated Test set creation based on the build configuration, pull the scripts required for execution, execute them and update the result back in Test Management tool based on execution outcome.

Ability to report outcome based on where the trigger has been generated. Adhoc / Standalone execution or execution through CI or trigger from the Test Management tool

Define Dashboard requirement for Management and Key stakeholders

Build Framework

Based on the framework assessment and technologies, build a robust framework to meet the project requirements. It takes approximately 3-6 months to customize and build framework.

Validate CT pipeline

Post building the framework, validate CT pipeline is meeting the project requirement. Here we validate various touchpoints like how automated build definition works, whether Framework is able to integrate with Test Management tool and CI tools and dashboard result is working as expected.

Build Sanity Automation Scripts

Focus on automating sanity Test suites for each application which helps to detect the code stability to proceed for further Testing.

Integrate with CI / CD pipeline

Once the framework is built, Sanity scripts are developed and the CT pipeline is validated. It is time to integrate with the actual CI/ CD pipeline to evaluate CT process integration with CI/CD. Here again, validation is done to check whether Integrated portions provide detailed information to Management and key stake holders of the project.

Fine-tune framework and Test Automation approach

There might be a specific requirements from the project to project certain additional information to Management and that needs to be enhanced either in the framework level or in the CI/CD/CT definition and that needs to be worked out.

Start building Automation suites to achieve CI/CD/CT

Once the current sanity integration is done and tested, now is time to develop Automation scripts for Regression Test cases and develop different Automation suites based on need and integrate with CI/CD.

After adopting all these steps we have achieved CT goal for an Organization.

Plan for N and N-1 Automation based on Organization goal

Once base Regression suite is prepared, next activity would be to increase the coverage through N and N-1 Automation based on Organization requirement which would really bring in CT benefits.

Key Automation Metrics for Continuous Testing

Test Pass Percentage

Quality of Build

Automation Coverage for Sprint / Release

Requirement Coverage for Sprint / Release

Defect Resolution Time

Defect Rejection Ratio

Build success Rate

Application Crash Rate

Since in CT everything is Automated. The above metrics are also captured in an automated way in the dashboard to Management and Key stakeholders.

Schematic View

What is Continuous Testing?

Key Factors that decide the success rate of Continuous Testing

Willingness of Management to undertake this digital strategy

Willingness of Management to invest time and money towards this initiative

Hiring right resource to perform this Transformation

Proper Analysis on Tool Strategy

Effort spent in Robust Framework creation

Training to key teams on Framework (Key to success is to have separate team for building framework and its customization with the delivery team focusing on building Automation suites)

Framework customization and Maintenance

Dedicated effort to track all these activity

Team should revisit their metrics for every quarter to see if that meets the project requirement and consider revising it to meet project goal

QA – Helping Telecom Companies Mitigate Challenges

QA – Helping Telecom Companies Mitigate Challenges

by | Jan 4, 2020 | Software Testing, Fixed, Blog | 0 comments

The business of the telecom operators is an evolving landscape with data and non-voice services having surpassed voice services. Telecom companies therefore have the responsibility and must deliver top quality, innovative, and reliable services if they are to retain existing clients and attract new ones for the long term. A wide range of top quality mobile applications is part of the expectations that customers have from telecom companies as part of the evolving landscape. As a leading Software Testing Company our work within the telecom sector enables us to understand the challenges this sector faces with regard to the new trends and technologies. Augmented reality, the Internet of Things (IoT), virtual reality (VR), and many more are all technologies that customers expect, which forces telecom companies to restructure and readjust their traditional business strategies – posing a significant challenge for many operators.

Keeping Abreast

The telecom industry is comprised of sections such as internet service providing, satellite and wireless communication, and more, but to gain and sustain a competitive edge each company must deliver customized and value added solutions to their customers. Innovative solutions for this industry would include software based updates, customer segmentation, customized marketing campaigns, and top quality customer service.

QA Testing helps Telecom Companies Mitigate Challenges

1. The significant and consistent elevation in new technologies, rise of customer expectations, and the increasing number of internet service providers and other competing telecom companies have led to a sharp decline in the profit margins for telecom companies overall. Such companies need to turn their attention toward ICT innovation, and ensure that their organizations remain flexible enough to adapt to the ever evolving digital transformation. As experts in the realm of QA services, we know that QA testing is essential to ensure optimal working of software and the systems, such that they deliver the expected output.

2. As the number of subscribers and a range of products increase, there is a need for tailored solutions. All this in turn makes customer care, operations, configuration of service, billing cycles and other such aspects, a lot more complicated. Telecom companies therefore, have increased spends on getting more resources and customized tools to ensure that customers get what they want and to gain an edge over competitors. As a result the financial overheads have increased significantly. With so much at stake, these companies must ensure that their products not only function as per customer requirements, but that the products are efficient, convenient, and secure. QA testing is therefore essential – not just to ensure proper functioning of the products, but also to mitigate the challenges and risks that telecom companies could face.

3. Meticulous and regular QA testing would ensure the proper implementation of the solutions, while addressing all the existing and possible issues. Telecom companies must ensure that their end to end solutions are properly supported such that their business remains profitable.

4. As mentioned, the challenges that telecom companies face, is the constant restructuring of infrastructure, the IT connectivity, and maintaining focus on offering reliable and affordable services. The most important is network security given that threats to technology are becoming more potent and frequent. The QA testing experts would be able set up a proper process and provide solutions customized to fit the business and customer base of the companies.

5. No business today can succeed without retaining existing customers and attracting a larger customer base. This can happen only when consistently high quality service is provided, along with effective back-end software, and a user-friendly and highly responsive customer use application. QA testing will ensure that telecom services are elevated and there is a significant reduction in the time to market and customer complaints.

In Conclusion

As leaders in the realm of QA services for the telecom industry (and more), we have consistently helped our clients with all the features mentioned above. QA testing analyses all the major operating systems, while optimizing their testing along with hardware devices. Our in-depth expertise enables us to ensure the security, functionality, reliability, and compatibility of the applications used by the telecom sector through wide and rigorous software testing. Connect with us for specialized software testing services and a personalized software testing strategy for your business within the telecom sector (and many more).