Automating Without Access To The Application

I had the opportunity to be a part of a Corporate Banking project recently. I was involved in leading the functional automation testing part of the project. I found it to be a very exciting and challenging form of testing since our automation engineers did not have access to the application under test.  I wanted to share my experience in this post.

How can one automate an application without accessing the application? Confused?

The problem was that the client did not want to provide application access to the offshore team because of security concerns. We suggested setting up an isolated environment offshore, but unfortunately, that could not happen.

The deadlines were looming closer and we still did not have access to the application, so here’s what we did.

  1. We arranged a WebEx session with our onsite team member and asked him to record the functional flow using HP Unified Functional Tester (HP UFT) with the “record active screen” option “ON”.
  2. The recorded scripts were then transferred offshore.
  3. We opened these scripts offshore and started identifying objects with the existing recorded repository and also captured objects using active screen.
  4. Thus, our Object Repository was ready.
  5. After this, we started creating functions using the object repository and created test flows.
  6. After completing an automated flow, we transferred it to our onsite team member and ran the flow (without accessing the application).
  7. We were surprised that our entire flow executed successfully in a single run without any errors.
  8. We understood exactly what we needed to do in order to complete the project on time.

Completing this task was very easy for us since we already had a corporate banking repository of 4000 automated test cases and our own framework (ZenFRAME). We created Object Repositories and functions, attached those to the framework and updated the test flow in the framework …that was it! We delivered and deployed the framework in the client’s environment, setup the application URL and were ready to run our complete test suite.

The execution of our first test suite for a specific module in the onsite environment was very smooth. All the test cases executed successfully, and the result log was created in the framework.

So, this was the issue I faced and the solution I came up with. Please feel free to share any other solutions you know of for the issues mentioned above. Also, please feel free to share other issues that you faced and if possible provide the solutions that you came up with. It would be great to know other people’s experiences. Happy Testing! 🙂

Hemant Jadhav | Zen Test Labs

The Art of Test Automation

Test automation has evolved to become a strategic and integral part of the software development process. Most of us start our test automation careers with record and playback. Over time, some of us move to data-driven test automation, but very few of us move towards the core where in the principles of design and development are applied to test automation. Test automation is like developing a system where test cases are requirements. The depth of thinking and planning that goes into test automation before hitting the record button is similar to developing software

Over the last 10 years, I have seen multiple Fortune clients struggle with automation and some of them eventually getting it right. For some of the projects that failed, we had the best test automation resources and a very stable manual testing practice but in spite of all this there was a huge gap between what was dreamt and what actually got realized. Over the period, we realized that the planning process is a key component for successful test automation. In 65% of the projects that failed the planning process and sequence of steps followed were the reasons.

Based on my experience, the automation process is:

  • Why (Purpose)
  • When (Stable Setup and Manual Process)
  • Which (Tool Selection)
  • What (Test Case Selection)
  • How (Design)

We have written a detailed whitepaper “The Art of Test Automation” based on the test automation process above. Through this white paper, we have attempted to outline how to actually go about automating, planning, prioritizing and using better practices to ensure a lesser risk of complete failure in automation projects.

Some of the important test automation questions that this paper attempts to address:

  • Why automation fails in spite of having technical resources?
  • Is there a standard process to be followed for test automation?
  • When to start and stop automation?
  • Test selection criterion

Download “The Art of Test Automation” to read more about the ideal automation process.

Poonam Rathi | Test Consultant | Zen Test Labs

8 Steps to Improve Your Regression Testing Process

With business and user requirements perpetually in an evolutionary mode, I find that regression testing has become a key component of the software development lifecycle. As testers, we need to keep in mind that a constant change in the functionality of the application lends the system to vulnerabilities in the base functionality too. These vulnerabilities tend to creep in due to an oversight while adding new functionality, poor analysis of impact on interfacing/ integrating applications and many a times due to the fact that customizations are an unknown entity. Poor regression testing can not only result in poor software quality but also impact revenue and cause customer loss.
Based on many years of planning, creating and executing the Quality Assurance programs of multiple Fortune 500 companies, I suggest the following eight step methodology to improve any regression testing process.

Phase 1: Defining
Step 1: Objective Finding (OF) – Challenges and Goal Identification
This step answers one of the most important questions “Why is regression testing not effective in its current state?”

Step 2: Fact Finding (FF) – Data Collation and Analysis
During this stage, teams must trail defects found in the past to conduct a defect root cause analysis. An important part of this step is bug prediction analysis so that defect prone areas in the application can be found.

Step 3: Problem Finding (PF) – Problem Clarification and Statement
Once the results of Steps 1 and 2 are combined, the exact scope of the challenges to address is established. These refined objectives act as the equivalent of a “Requirements Document”.

Phase 2- Scoping
Step 4: Test Cases Finding (TF) –Coverage Gap Analysis
Gaps in test coverage are found based on the current test cases and the application functionality. Techniques to map test cases to requirements and testing techniques are used to identify missing test cases

Step 5: Test Case Centralization (TC) – Test Case Repository Creation
Ensure that all test cases are stored in a centralized repository and in an optimized manner. Each test case must have a clear objective, precondition, steps, expected result and test data.

Step 6 : Test Case Optimization (TO) – Maximum Coverage in Desired Time with Minimum Risk
Statistical techniques such as Classification Tree and Orthogonal Array may be used to run minimum number of test cases in a way where every business process/ function is covered at least once

Phase 3- Executing
Step 7: Reusing Test Components (RT) – A Modular Approach
Create business functions and test data in a way that they can be reused for building manual test cases. Automate the generation of descriptive manual test cases.

Step 8: Test Case Classification (TC) – Test Case Mapping
At this stage, test cases are grouped requirement wise, screen wise, module wise, etc. Small frequently used regression pack/suites are created.

We have written a detailed whitepaper ‘Progress Not Regress’ on improving any regression testing process. We would love to hear your thoughts on it!

Girish Nair | Sr. Consultant | Zen Test Labs

Developer + Tester = 1?

Recently I attended a software testing conference where the main focus of discussion revolved around future of testing and how innovation can be ingrained more in testing!

The speakers included Randy Rice, Michael Bolton and Lee Copeland. When asked about the future of testing, and each one said that it was a too dangerous to predict. They realized that when they were asked this question ten years back, their predictions failed thoroughly J  Quoting Neils Bohr “Prediction is very difficult, especially if it’s about the future”.
A common point said by each was that it would be more complex and besides functional testing, security testing would be a major game.

One of the intriguing points I found was in order to enhance creativity,asking the developer to also play tester. I think it is a recipe for disaster to expect a developer to test his baby.

The reasons why the developer and the tester should be different are:

–          The developer works  on building a particular module but the tester has to think of the integrating that part as well, thus varying  the scope and efficiency expected from the tester and the developer

–          The creative process of a developer works on a structured constructing process, where as a tester proves his creativity by breaking the barriers and rules

–          A developer is entitled only to the code and does not work with the mindset of looking for failures, where as a tester whether access to code or no code works towards digging failures

–          However, when a new Functional Specification Document or a Business Specification Document is acquired, the tester and the developer can start working simultaneously, by adopting Agile more productivity and efficiency is attained over a limited period of time.

If I must combine the role of a tester and a developer, then

A developer can enhance his productivity by unit testing, if there is an error in the code it is easier found by the developer rather than a separate tester who might or might not have the knowledge of that technology/language.He can also build by thinking of end to end business flows.

A tester can wear the developer’s shoes by building automated scripts and applying Oops concepts in his test cases.

I believe this would also add in enhancing the innovation in testing! These are my views acquired over dedicating a period of time in testing, Would be great to know yours?

Poonam Rathi |Test Consultant | ZenTest Labs

Software Testing in 2020

As a CEO of a testing company, a question that plays on my mind constantly is ‘what is the future of Testing?’ In the early 2000s, Ron Radice spoke at a QAI conference in India, where he had predicted that testing will die. His call was that automatic code generators will do the job so efficiently that testing will become obsolete. When he looked at the crystal ball then, he could see that prevention will be the creed and not detection.

Well, when I look at 2020, I believe Ron was right as well as wrong. Yes, code generators are arriving. Yes, there will be automated test case generators. Yes, model based testing will replace rudimentary testing activities. But, the whole boom of software especially in ubiquitous mobile devices means only more testing.

If the future includes automated cars like the Google driverless cars, I cannot imagine such a car with a technology that has not been fully and manually validated. If the future is the “Internet of Things”, I can only imagine that the amount of embedded testing will only explode. If the future is, business operations being handled through apps and app stores that have millions of applications pervading every step of our business and personal life then imagine the amount of mobile testing that will be required. If not anything, as everything gets more interconnected, the consequences of a critical failure will only be catastrophic. Wherever the nexus of cloud, social, mobile and big data takes us, I am thoroughly convinced that the need for testing will only grow.

While there a dime a dozen predictions on how things will look in 2020, my two bits around where testing will find itself as follows:

• Huge business opportunities arising from testing for app stores directly than app manufactures
• Test automation would have evolved from script less automation to automatic test case generators and execution
• The pressure to deploy rapidly in the Mobility and embedded devices space will mean that test automation tools will evolve to provide near and real time support to these areas
• Testing and testers will evolve to become super specialized with domain testers at one end and niche technical testers at the other end.

These are some things that come to mind and as the decade continues to evolve. Would be great to know what the rest of the testing world thinks.

Krishna Iyer|CEO|Zen Test Labs

Automation lessons learnt: Funding automation projects & the role of change management

One of the many reasons test automation is often compromised is in situations where business funds technology projects on a per project basis. Key reason being business benefits of automation, primarily time to market, are realized only during the subsequent releases of the application, never in the release where automation is undertaken. Even when business agrees to fund an automation project, the order of magnitude of benefits is small due to the potentially low levels of automation feasible within the project scope. The benefits accumulate only over a period of time from increasing automation levels and therefore the return on investment is realized over a longer duration. In order to reap benefits from automation business needs to continually invest in it and maintain a long term orientation to ROI. These are typical characteristics of any change initiatives. Test automation initiatives funded by individual business units can therefore learn from the vast expanse of knowledge pertaining to other organizational change initiatives and do not need to reinvent the wheel.

I have captured my experience of change initiatives as applied to automation in the visual below. It shows key components required to not only succeed at a pilot project but also create a cascading positive spiral where the benefits accumulate over time.


Like any other change initiative the key components form a chain, where the initiative is just as strong as its weakest link. Successful pilot accompanied by the right communication can act as a feeder to the next project and as long as all key components act in unison incremental benefits from each project can lead to significant cumulative benefits. The problem is that the first cycle tends to be demanding and it needs continuity of the champions until such time that the framework is institutionalized. A failure at early stages can have devastating effects with a stigma associated with it presenting greater roadblocks during subsequent attempts at automation. This is where senior management support from business and IT is crucial. A champion driving each automation cycle to success is central for the overall success of automation!

What do you think of the role of change management in automation projects? Have you had difficulty funding automation projects? Please feel free to share your experiences.

Aparna Katre | Director Strategy | Zen Test Labs

Automating data migration testing

I had the opportunity to be a part of data migration project recently. I was involved in automated data migration testing, which I found it to be a very exciting and challenging form of testing.  I wanted to share my learning’s in this post.

During conversion or migration projects, data from the legacy or source systems is extracted, transformed and loaded into the target system. This is called as the ETL process. The data needs to be transformed as the data model of any two systems is different. As a standard practice the data transformations are managed in the data mapping document, which forms the basis for development as well as testing.

Testing the migrated data is usually a critical and challenging aspect. Testing the migrated data manually is a very time consuming process and so automated data validation is a good way to go ahead.

In my latest project, data from two source systems was migrated to target system. The data from the source systems’ UI was compared with the data from target system’s UI, since we did not have access to the database. Data migration was performed based on incremental loading approach to ensure cent per cent verification. The approach was to load small subsets of data every week for verification. This type of a process was a perfect solution to client’s challenges as in the event of any mismatch only that specific subset of data could be reversed.

I am also listing some of the key challenges we overcame during the course of the project

  1. We had to create scripts that could read source values and the use field level mapping rules to calculate the expected results at the destination. This had to be done because the mappings between the fields of the source system and the target system were different; i.e., both systems had their own structure
  2. We had to verify values at the target system as some extra fields were present in it leading to a mismatch with the source system
  3. We had to read the data on the target system to verify as some amount of data in the source system was in a CSV format with header changes for each customer column
  4. We also created a strong log generation mechanism that generated a result for every iteration. It also went onto ensure that when any mismatch occurs not only field name mismatches are captured but also values get captured
  5. The results also included the time taken to execute each record
  6. To counter the fact that most of the data migration was done in files of XML tab separated formats, we had to generate the input file for automation in excel format

We also went onto to create a customized data migration automation testing framework (illustrated below) to overcome these challenges which lead to a successful project.

Have any of you worked on such projects? Would love to hear some of your experiences.

Anand Gharge | Test Manager | Zen Test Labs