Home
>
Software
>
Making The Decision To Automate Your Software Testing

Making The Decision To Automate Your Software Testing

Not every software testing project can or should be automated. Before your department accepts a new test automation project, you should establish a process by which projects are reviewed and either accepted or rejected. This can be done with a simple Test Automation Acceptance Checklist.

Repeatable Test Cases with Static Data

The true cost benefit of test automation is achieved only when the same scripts are executed multiple times. The first execution is very expensive because it includes the one-time cost of the automation tools and 100% of the Test Automation engineer's time. When the scripts are executed again, the cost of test automation declines sharply. The tool has already been purchased and the scripts have already been coded. If there have been changes in the application, the scripts may require maintenance before being executed. Maintenance on minor software updates should be minimal.

Because test automation is only successful when the scripts can be executed multiple times, only application which require the same test cases to be executed with the same data are good candidates for automation. For example, a mortgage application that needs to be regression tested on a weekly basis could be a good candidate for test automation. Script maintenance is minimal and the scripts can enter a mortgage application using the same group of test data in a fraction of the time it would take a manual tester to test the same functionality.

On the other hand, a mortgage origination system, which cannot use the same test data for each iteration would not be a good automation candidate. Due to the nature of mortgage systems, data could be staged in various states of approval or rejection, based on the current data and the departments who have already processed their part of the mortgage application. If the script cannot easily figure out what data to enter in the software, it is not a good automation candidate.

Another problem with automating this type of complex system is that the test environment often contains a sampling of production data that is refreshed on a periodic basis. Sometimes this can be overcome by rebuilding the test data when the test environment is refreshed. The feasibility of rebuilding test data on a regular basis depends on the complexity of the application. You will have to make that decision on a case-by-case basis.

Application or Environmental Stability

Environmental stability is crucial to a successfully automating a software testing project. Scripts cannot be coded in a timely manner if the application environment is unavailable, experiences frequent down-times, or excessive defects and errors.

Little or No Application or Environment Downtime

It takes longer to write scripts than it does to manually test the same functionality. Most automation tools are watered down version of C or Visual Basic, which means that writing automated scripts is essentially programming and takes adequate time and specialized skills. Unlike manual test cases, which can sometimes be written based off requirements and mock-ups, automated tools require the actual application. When a test environment is unavailable, automation engineers cannot create scripts, which prolongs the project and ends up costing more.

Excessive downtime can consist of any of the following:

Unstable Environment
Lack of Infrastructure Support
Frequent Application Updates
Buggy Code

Effects of Environment Instability on Script Development and Execution

When an application or environment is unstable, scripting progress is dramatically slowed or stopped altogether. In some cases, it's possible to continue scripting, but this may causes more work at a later date. For example, if you are scripting in buggy code, you may have to script around error messages and the scripts will have to be revised at a later date. Or, you may only be able to create scripts to a certain point and finish them at a later date. To help avoid and decrease environment instability, read the chapter on Service Level Agreements.

Timely Defect Fixes

Application defects do not have to be detrimental to an automated software testing project. When defects are fixed in a timely manner, scripting can continue without significant downtime. When estimating an automated testing project, it's always best to add some buffer time that will accommodate for defect reporting and revisions.

When defect fixes take an excessive amount of time to resolve and are causing the automated software testing project to be delayed, it's time to pull together a meeting. Invite all the major players and discuss the root of the problem and what everyone can to improve the situation. Maybe development is spending too much time trying to reproduce the problem and having your automation team enter better description would help them turn the defect fixes around faster. Maybe you can work together to classify defects and establish reasonable fix times for each classification. For example, a Critical defect needs to be fixed that day while a High defect needs to be fixed with in 24 hours.

Responsive Contact Person

When your team takes on a new automated testing project, you will need a contact person. This person is responsible for making sure you have the business requirements and answering questions about how the application works. This will not be his or her main job, so you will need to make sure he or she is responsive. If you cannot get adequate business requirements, test data, or questions answered, your automation project will not be successful.

Danna Henderson has helped many organizations automate their software testing with WinRunner. For information on creating robust, data driven scripts, and successful automated testing, visit winrunner experts.

weekly home cleaning Lincolnshire ...

In The News:

Asking Siri to call American Express connected an 82-year-old woman to a bogus number that nearly drained $100,000 from her Bank of America account.

The Fox News AI Newsletter covers the latest artificial intelligence technology advancements, including the challenges and opportunities AI presents now and for the future.

iPhone Duo opens to a 7.6-inch foldable display starting at $1,999, but Siri Recap's ambient listening on Apple Watch may spark privacy concerns.

Homeowners association meeting minutes and membership lists can expose names, addresses and emails that scammers use to craft convincing phishing scams.

Lima, Ohio, has installed 3,120 floating solar panels on its Twin Lakes Reservoir, projecting nearly $10 million in electricity cost savings.

Amazon's Alexa for Shopping now lets customers verify suspicious emails, texts and phone calls against the company's own communication records.

Lindsey Brooke Isaacs spent 13 days in jail after a Flock camera flagged her Dodge Durango near a fatal Florida crash that killed three people.

AI-powered smart grocery carts are linked to 32% higher spending, according to new research, as Instacart Caper Carts expand across U.S. stores.

A VPN encrypts your connection on hotel, airport and café Wi-Fi abroad, but streaming catalogs and live sports access still depend on provider rules.

Gmail's Verified Sender Program launches September 8, 2026, giving U.S. political committees a more reliable path to your personal email inbox.

Elroy Air's Chaparral can carry over 500 pounds and fly 450 miles without a runway, and the FAA just tested it under a new federal program.

Bedrock Robotics says its autonomous excavators are doing paid earthwork on active job sites in Texas and Nevada with no operator in the cab.

A dedicated banking computer isolates your financial accounts from malware and phishing, but passwords, SIM swapping and outdated software remain risks.

The OlloNi SS1 AI robot pet uses a 4K camera and facial recognition to learn your family, but its removable Red Heart memory module raises questions.

Nine identity theft warning signs range from unfamiliar credit inquiries to SIM swap attacks that can quietly drain your bank account funds.

Robot.com's R-dog uses articulated legs and wheels to climb stairs and deliver packages, while its built-in screens display paid ads along the route.

MyChart phishing emails mimic real patient portal alerts with fake lab results and malware tricks that target Windows users across the country.

The Fox News AI Newsletter covers the latest artificial intelligence technology advancements, including the challenges and opportunities AI presents now and for the future.

Google's Motion Assist places animated dots on Pixel screens to combat motion sickness in vehicles, but the Android 17 rollout remains limited.

Moving to a 55+ community can quickly expose your data to scammers and data brokers before you even unpack, putting your whole family at risk.

Amazon Prime Air drone delivery plans to reach nearly 500 U.S. cities by the end of 2026, but your yard and ZIP code may determine eligibility.

The FBI reports nearly $21 billion in cybercrime losses for 2025, up 26%, as AI scams make fake voices and identities more convincing than ever.

Uber teen accounts now feature live video streaming from the driver's camera, but encrypted recordings stay on Uber's servers for up to 14 days.

Router firewalls and software firewalls serve different roles in protecting your home Wi-Fi from unwanted traffic and suspicious connections.

A Chrome extension with 70,000 users and a 4.7-star rating began injecting fake update warnings after a threat actor acquired and weaponized it.