Service_Category: Functional Testing

Scriptless Test Automation Solution with AI

Post author By Ashlinjenifa A L
Post date February 2, 2021
1 Comment on Scriptless Test Automation Solution with AI

Scriptless Test Automation Solution with AI

Decades ago, enterprises developed and used heavyweight, script-based automation solutions with traditional software development models. The evolution of scriptless automation tools have changed the ways in which we analyze software and makes the process easier, with a faster turnaround time for users. Scriptless test automation solutions with artificial intelligence approaches help businesses deliver software more efficiently while increasing reusability and reducing manual coding. Excluding the complexities of low-level implementation details, such as learning programming languages and building/maintaining automation frameworks, teams can concentrate on high-level strategic work that adds business value with increased efficiency and collaboration.

Is Scriptless Test Automation the same as Automation Testing

Automation testing is the method of automating user test activities on an application using an automation tool. The automation engineer uses these automation tools to develop test scripts with a programming language. Contrarily, scriptless test automation simplifies the test automation process without actual coding. Scriptless test automation is an effortless and easy way to learn compared with other automation tools. Scriptless test automation aims to solve many challenges that testing teams have been facing. A few of the challenges include:

Manual test engineers cannot automate test cases
Test scripts can be reviewed and changed only by people who developed them
Management and maintenance of test scripts and test data in an agile environment
The more the scripts, the more time for execution

How Does Scriptless Test Automation Work?

The basic idea of scriptless test automation is that the test creation needs no coding. There are multiple scriptless test automation tools available in the market. The general mechanism is converting front-end representation to machine-understandable code in the back-end to make it work efficiently. For example, IntelliSWAUT uses the test cases written based on UI objects. These simple test objects are compiled and converted into code in the back-end for execution.

IntelliSWAUT — Home-grown Scriptless Testing Tool with AI that Addresses all of your Coding Challenges

IntelliSWAUT is a scriptless automation tool that can automate Web, Windows, API SOAP/REST, Database, and Mobile Applications without writing a single piece of code. The installation process of IntelliSWAUT is simple and can be used by multiple users by accessing the URL to develop and execute tests.

IntelliSWAUT also enables software testers to develop test cases using a user-friendly interface while the actual code is written automatically in the back-end. Using this method, testers can now concentrate on the product’s functionality more efficiently.

Where & How Do I Get Started?

Supported platforms: Windows, Mac

Supported Browsers: IE, Chrome, Firefox

Integration: Jenkins, Jira, Bamboo, Teamcity

Unique features of Sun Technologies’ Codeless Test Automation Solution

Testers can develop tests without prior coding knowledge
Applications under automation, which include the frames in UI, are managed automatically by the tool with smart intelligence
Manual driver updates for browsers are not required since drivers are auto-updated based on the version changes of the browsers
IntelliSWAUT can automate applications such as Web, Windows, API SOAP/REST, Database, and Mobile Applications
Test execution results are shared to the stakeholders through email notifications
Easy integrations with Jenkins for smoke and regression testing
Testers can execute the scripts on any machine without automation scripts (installation of agents in those machines is required)
One of the significant advantages is that the projects share the same code base, so upgrading the library is simple (selenium version, reports)

Business benefits of using IntelliSWAUT

Greater ROI

IntelliSWAUT is built with the philosophy of bringing development, testing and business-user communities together. In a high power agile environment, this tool helps to bridge the gap among technical and non-technical teams. The incorporated intelligent automation can accelerate performance, maintain speed & quality, and enable real value and ROI.

Codeless & User friendly

Using IntelliSWAUT, anyone can automate business process scenarios with 0% coding knowledge, which indirectly saves the cost of hiring skilled developers. By bringing efficiency and agility, the testing standard is easily established among various groups.

AI-empowered intelligent Self-Healing

The self-healing mechanism of IntelliSWAUT saves 80% of the engineer’s time cutting maintenance, debugging, and fixing change of elements properties in the application on each build.

All Automation Solutions in one Pack

IntelliSWAUT is a one-stop solution for all of your automation needs. Investment is not required for your diversified automation requirements such as mobile applications, web applications, windows based applications, and API/Web services Automation.

Automated Communication to Stakeholders

IntelliSWAUT’s smarter reporting capabilities deliver the executions results in reports to the stakeholders automatically, through emails and SMS notifications.

Conclusion

Every QA organization should focus on test automation areas by finding the greatest constraint/ challenges in their software development life cycle (SDLC). The risk of not investing in a particular test automation solution can lead to a loss in your competitive advantage and reduced agility and innovation.

With scriptless test automation versatility and ease of use, it is the perfect fit for projects with tight deadlines and a dynamic scope. The process makes automation simple and helps stakeholders to concentrate on a high business context.
Our testing experience has seen an overall increase in software quality by identifying defects early and improving accuracy in future defect classifications. Swift test automation techniques identify and isolate hard-to-detect quality issues such as overall user experience, quality of service (QoS), availability, scalability, and performance. IntelliSWAUT provides decision support by automatically correlating test metrics to corresponding business metrics.

Vaidyanathan Ganesa Sankaran

Vaidy is an experienced lead Solutions Architect heading sales and project delivery for Cloud (AWS, Azure), DevOps and legacy Modernization projects with a demonstrated history of working in the information technology and services industry. He is a strong engineering professional with a Master of Science (MS) focused in Computer Software Engineering from BITS Pilani. He has the capability to manage bigger teams and generate revenue through new Sales and Account Mining.

Accessibility testing solution for one of the Leading Insurance Companies in the USA

Post date January 7, 2021

Case Study

Accessibility testing solution for one of the leading insurance company in USA

Whom we worked with

Our client is a large, fortune 500 insurance company.

Our Solution

Performed testing according to the WCAG 1.0, 2.0. 2.1 guidelines that include accessibility parameters in the application development life cycle
Our experts used the right processes and tools to deliver the best quality of service for the target audience
Cost-effective with a leveraged offshore model and Open Source tools. For example, WAVE from WebAIM
Certification of releases vis-à-vis A, AA, AAA criteria as published by WCAG 1.0,2.0 and 2.1.
Trained the business analysts and other stakeholders in accessibility guidelines

Challenges

To automate the testing of the applications with new features
To deploy a safe, efficient, economical, and simple accessibility solution that removes the possibility of lawsuits and penalties while parallelly creating the final user experience for any end-user, including those with disabilities

Impact

Developers and Testers were well aware of the process, technology, and culture during the testing of the applications
Suggested some initial program conversion be tested and moved into production
Built a flexible and high performing environment between different architectures and platforms for a more manageable process

How we helped

Understand the applications and timelines for accessibility testing
Created a unified automated application process without affecting everyday business operations
Dedicated offshore team to support the testing of mobile and web applications
Our team evaluated the existing accessibility practices and analyzed the data produced by the automated accessibility tool currently in use by cross-comparing its results with other tools
Performed an in-depth analysis of the results
Our web accessibility testing helped the client to achieve benefits such as increased website traffic, enhanced search engine ranking, reduced maintenance cost, and faster ROI
Our experts performed the testing by following the guidelines WCAG 2.0 AA to ensure content is accessible to everyone, with no regard to their disability (visual, hearing, physical, etc.)

Contact Your Solutions Consultant!

Agile Testing Trends to Watch Out in 2021

Post author By Ashlinjenifa A L
Post date December 1, 2020
No Comments on Agile Testing Trends to Watch Out in 2021

Agile Testing Trends to Watch Out in 2022

Technology is continually changing. What was ultra-modern a few years back might be obsolete now. Presently, the software development and testing industry is innovating ways to include evolving technologies like artificial intelligence, machine learning, big data, etc.

Be it browser compatibility testing, selenium test automation, or any other kind of testing process, each of these testing processes is consistently transforming with the vision to bring better products. Presently enterprises concentrate more on agility to align better testing methodology based on agile principles.

The contribution of DevOps, Continuous Testing and other factors are expected to elevate agile testing soon. This article analyses some of the crucial agile testing trends expected to impact organizations wishing for quality software testing in 2021.

AI & ML in Agile Methodologies

The coherent usage of artificial intelligence (AI) and machine learning (ML) in agile methodologies creates an ideal data analysis method. Such collaboration allows software teams to achieve better productivity and efficiency associated with testers and developers. AI & ML together delivers real-time information. Ans also offers a precise prediction of the expected time of the release phase of the project. The inclusion of innovative technologies such as robotics, IoT, quantum computing, etc., is much possible with AI & ML in the software development process.

Sun Technologies’ agile approach with AI & ML provides a good understanding of the best methods for creating testing code. Our experts evaluate code and associated tests to remove bugs. We use innovative technologies for accelerating software development & time-to-market.

Software Quality Engineering

When you manage testing tasks in an agile environment, the dependency on quality engineering is more. What is the dissimilarity between quality engineering and quality assurance? Quality engineering deploys continuous testing of the related product with the extensive implication of automation. It ensures that the product is placed under efficient testing to make it error-free.

Benefits:

Provides faster feedback on the software product because continuous testing is done across various platforms and operating systems
Minimizes software failures and availability of early feedback

Shift-Left Testing Approach

The shift-left process emphasizes various types of testing performed simultaneously with software development— testers collaborate with developers to frame test cases. The method also includes what-if scenarios, and the tests are used for streamlined development.

In the usual software development process, the incorporation of testing is seen as a blockage to the release process. Testers operate on less time due to tight schedules, thereby hindering testing efforts and identify errors. However, by the shift-left process, testers get a sufficient amount of time to test the software’s usability by comfortably teaming up with UI & API developers.

Benefits:

Faster time-to-market for early release
More rapid identification of bottlenecks to avoid software failures
Provides high performing software under minimal time

Agile Test Management

For any software testing services, the collaboration of testers and developers is a must. Such cooperation includes the structure, execution, and report of testing once the results are out.

The agile test management’s involvement helps determine the processes and tools that allow the overall team to maintain testing progress. The process brings together everyone on the same path. For experts working in distributed environments, a cloud-based test management tool’s availability confirms easy access to testing information anytime and anywhere.

Benefits:

Allows team members to trace testing efforts and increase collaboration
Minimizes the bugs and accelerates the release of high-quality software
Ensures real-time feedback

DevOps Process

The concept of DevOps is based on lean management. It concentrates on combining development and operations to create a suitable environment. A DevOps approach refines the software development lifecycle and eliminates junk, and accelerates software delivery. The combination of Agile and DevOps can fine-tune team relationships and communication, thereby minimizing software failures. Moreover, DevOps skillfully combines continuous testing into the development process to ensure code quality.

Benefits:

Set up a proper collaborative culture
Integrates development and testing processes
Combines operations within the team to reduce downstream testing concerns

Continuous Testing

The process of Continuous Testing includes redundant executing tests that deploy testers into cross-functional teams. This arrangement helps refine testing functionalities and offers rapid feedback. Continuous testing supports early testing along with shift-left, agile test management, and quality engineering.

Benefits:

Reduces software failure by early detection
Enhances software quality through ongoing reviews and reports
Improve test suites to identify business risks

Lean Portfolio Management

Lean portfolio management follows a different methodology that focuses on streamlining operations to measure outcomes based on organizational goals and planning. It mainly follows a continuous process used to assign tasks within teams based on the priority and well-organized strategy.

As per Lean portfolio management, the paramount importance is on the collaboration running from top to bottom, covering factors connected with goal measurement, planning, and work transparency.

Benefits:

Enhances the relationship between organizational strategy and individual projects
Fine-tune business value to get clarity about the software

Businesses cannot ignore the impact of agile testing in today’s progressive testing environment. Therefore, technological upgrades to enhance agile testing is the main motto for most software companies. At Sun Technologies, we deliver world class QA services. Get in touch with one of our solution consultants today to understand your business requirements and find suitable solutions. Discover more about the various attributes of agile testing with us

Tahir Imran

With over 18+ years of experience in Software design and development, Tahir's expertise lies in designing and developing high-quality products and solutions spanning multiple domains. He is versatile and always eager to tackle new problems by constantly researching and deploying emerging techniques, technologies, and applications.

Data Security with Data Classification

Post author By Ashlinjenifa A L
Post date November 24, 2020
No Comments on Data Security with Data Classification

Ensure data security with data classification to protect your organization’s sensitive data

Data protection is at risk during this pandemic and likely a target of malicious behavior or intrusive cybercriminals. Data classification offers one of the best ways for enterprises to define and assign relative values to their data and ensures data security The process of data classification enables you to categorize your stored data by sensitivity and business effect, so you realize the risks connected with the data. Instead of handling all data the same way, you can manage your data in ways that reflect its value to your business.

Data exists in three primary states, i.e., at rest, in process, and transit. All three states need distinctive technical solutions for data classification. Also, you should apply the same standards of data classification for each. The confidential data needs to stay confidential when at rest, in process, and transit.

Data can be Structured or Unstructured

General classification processes for structured data found in spreadsheets and databases are less complicated and time-consuming to manage. Unstructured data that include documents, source code, and email are more complex than structured data. Usually, companies have more unstructured data than structured data.

At Sun Technologies, we believe that one of the best data protection aspects is the right data classification. If you know what and where your critical data is, you would secure it reasonably and save your company from possible heavy penalties and compliance breaches. A little while back, we have seen the GDPR compliance violation at H&M with the largest financial penalty following illegal employee surveillance. The company could have avoided the threat if it had followed privacy compliance policies and addressed the data within data classification plans.

Process of Data Classification

Establish a data classification strategy, including goals, workflows, data classification scheme, data owners, and managing data
Figure out the critical information you store
Apply tags by labeling data
Use results to enhance security and compliance
Data is vigorous, and classification is an ongoing process

Guidelines to Classify the Data

Enterprises can achieve data discovery through various automated tools that are available in the industry. But most importantly, your enterprise should define the classification scheme and criteria initially. At Sun Technologies, we follow the reliable and demonstrated framework to classify, declassify, and secure sensitive data. The following are some of the steps from our extensive framework.

1. Define the business objective

The initial step is to understand the business objectives and evaluate your enterprise’s risk and compliance needs. Then categorize the ranking of risks and a list of initiatives to reduce the risk.

2. Understand the requirements and classify data accordingly

At times, it is challenging to meet the compliance needs to meet the critical business requirements. Thus, a reliable data classification program needs to be developed to classify the data according to its risk and value. We have established a dedicated and demonstrated extensive framework by complying with SOX, NIST, CERT, PCI, PII, HIPAA, and many other regulatory requirements. The scheme is a combination of people, process, innovation, and technology, which will find new data elements, shadow IT, structured and unstructured data. And also, it discovers sensitive data in areas you usually never expect. It will identify the broken process, bad actors, data drift, and declassify the data. With that information, We would suggest implementing a sufficient number of DLP tools to secure data-at-rest, data-in-process, and data-in-transit across the IT industry to deliver comprehensive data security.

3. Categorize, Monitor, Track, and Response

Including a proper incident life cycle management to data classification is vital. It reports the incident occurrences and recommends how to respond to that incident, perform the root cause analysis, etc. Sun Technologies has a fully managed SIEM and SOAR capability, which will get the logs and events from your DLP solutions and associate them with external threat intelligence feeds to give environmental and functional alerts through a dashboard. This enables our SOC team to efficiently detect and resolve attacks of all types by providing compliance status, risk profile and categorized incidents that produce the biggest threat to data.

Benefits of Data Classification

Classifying data helps enterprises ensure regulatory compliance and enhance data security.

Data Security

Classification is an efficient way to safeguard your valuable data. Identify the types of data you store and discover the location of sensitive data, and this makes you to:

Prioritize your security measures, revamping your security controls based on data sensitivity
Recognize who can access, change or delete data
Evaluate risks, such as breaches that impact business, ransomware attack or other threat

Regulatory Compliance

Compliance regulations need enterprises to secure data, such as cardholder information (PCI DSS) or EU residents’ data (GDPR). Classifying data allows you to find the data subject to specific regulations so you can apply them for the required controls and pass audits.

The following defines how data classification can help you meet general compliance standards

GDPR— Data classification helps you endorse the rights of data subjects, including satisfying data subject access request by restoring the set of documents with information about a given individual.
HIPAA— Knowing where all health records are stored helps you implement security controls for the right data protection.
ISO 27001 — Classifying data based on value and sensitivity helps you meet requirements for preventing unauthorized disclosure or modification.
NIST SP 800-53— Categorizing data helps federal agencies suitably plan and control their IT systems.
PCI DSS— Data classification allows you to find and protect consumer financial information used in payment card