Welcome!

Machine Learning Authors: Pat Romanski, Yeshim Deniz, Liz McMillan, Elizabeth White, Corey Roth

Related Topics: Java IoT, Microservices Expo, PowerBuilder, Microsoft Cloud, Machine Learning , SDN Journal

Java IoT: Article

Testers Are from Mars, Developers Are from Venus

Tips and tricks to improve your relationship with development

Developing with Performance Testing in Mind
A tester friend of mine recently came to me with a complaint that I think is fairly common in the testing community. He said, "Every time there is a new release of the software for us to test, we have to rework our testing scripts." I've heard this complaint throughout my career, not only in performance testing but in functional testing with automation tools as well.

This state of affairs arises from three fairly straightforward observations:

  1. Change is inevitable. Everything changes, and in no industry is this more apparent than software development. It makes no sense for testers to ask developers to stop changing the code, but it does make sense to encourage wise changes.
  2. Developers and testers don't always communicate well. The proverbial wall between developers and testers is still quite formidable. When developers throw a new version over the wall to be tested, too often they've given little thought to how it will be tested.
  3. All testing tools are not created equal. Some make it easier to identify and handle changes than others. If your testing tool is designed to handle change well, then your entire team is better positioned to embrace change rather than fear it.

Thinking Like a Tester
Most development organizations make a real effort to improve communication between developers and testers, but it's not always enough. Beyond encouraging developers to talk with testers, I ask them to take it a step further and think like testers.

I find that it's a good idea for developers to sit through some of the training that the test engineers complete. In my experience, the developers who do are more careful and avoid making arbitrary changes with little or no justification. They don't, for example, change the name of a field in a form simply because they don't agree with the name the initial developer gave it. When developers are aware of the kinds of changes that make a tester's job harder and what kinds of changes make it easier, then from an organizational standpoint the entire process is more productive.

An Analogy from the Early Days of Functional Testing
Some of the earliest automated functional testing tools for GUIs would simply record the location of the mouse pointer on the screen during tests, and then play back those mouse clicks to execute the test script. If a developer moved the location of a button on the screen, the script would break. Other tools would record the label on the button, so the button could be moved around the UI without breaking the script but changing the button text from "Submit" to "OK" would break the script. More advanced tools used the button's ID to identify it in the script so that the developer could change both the position and the label of the button without making the tester's job more difficult.

One key lesson here is that the choice of testing tool makes a big difference in the productivity of the testing team when the software under test changes, even in relatively trivial ways.

The other key lesson is that developer awareness of testing tools and procedures goes a long way in facilitating a smooth testing operation. I saw this firsthand during a training session I gave years back. While describing how button label changes affected testing, a developer who happened to be sitting in on the training sat upright when he finally understood why his colleagues in testing were so frustrated by many of his changes. He never knew why they objected so much to his changing a button label from "Clear" to "Reset". Going forward, that knowledge didn't stop the developer from making necessary changes. It did, however, make him pause when he made such changes to consider whether they were really necessary.

Performance Testing Tools That Make It Easy to Handle Change
In performance testing, we are not concerned with the location of buttons, but we're not immune to seemingly trivial changes.

For example, when a web form is submitted to the server, the form fields will be a series of name-value pairs. Changing the name of a form field, adding a field, or deleting a field can cause problems during performance testing. With a less capable testing tool, these problems can be hard to identify and diagnose, especially if there is poor communication between developers and testers.

File difference viewers (diff viewers) that enable the tester to compare multiple recordings against each other are particularly helpful in pinpointing the changed fields. When it's time to modify the script, an effective tool will enable you to add, delete, and update fields without programming. Just right-click and choose add, or simply drag-and-drop to update your load testing script.

Form fields are relatively easy to handle for load testers. Parameters that are session specific are more difficult. (These parameters change from session to session but stay the same for the duration of each user session). By default, the hard-coded session values are captured by a load testing tool in each script, and a test engineer needs to parameterize them to make the script usable for load testing. Double-clicking on a hard-coded value to make it a variable is easier than diving into the script code. Here again, tools that help automate the process can reduce test creation time from many hours to a few minutes.

When a new script is needed or maintenance is required on an existing script, tools that are easier to use can make the task orders of magnitude faster.

Overcoming the Fear of Change
I know of development teams that gradually became more and more afraid to change their software because of the difficulties that the changes introduced in testing and elsewhere in the process. Needless to say, this had a negative effect on their ability to deliver new features and fixes. A root of the problem, it turned out, was the testing tool that they were using, which made changes arduous and error-prone. Once they switched to a modern tool, the required script changes were easier to make. Performance testing times shrank from a week to less than a day and development was once again free to make long-needed changes. Agile development shops in particular depend on this ability to rapidly implement changes in testing scripts, and get the tests going in minutes or hours instead of days and weeks.

If your organization is starting to fear change, encourage your developers to think like testers and encourage your testers to use tools that make inevitable change easier to handle.

More Stories By Steve Weisfeldt

Steve Weisfeldt is a Senior Performance Engineer at Neotys, a provider of load testing software for Web applications. Previously, he has worked as the President of Engine 1 Consulting, a services firm specializing in all facets of test automation. Prior to his involvement at Engine 1 Consulting, he was a Senior Systems Engineer at Aternity. Prior to that, Steve spent seven years at automated testing vendor Segue Software (acquired by Borland). While spending most of his time at Segue delivering professional services and training, he was also involved in pre-sales and product marketing efforts.

Being in the load and performance testing space since 1999, Steve has been involved in load and performance testing projects of all sizes, in industries that span the retail, financial services, insurance and manufacturing sectors. His expertise lies in enabling organizations to optimize their ability to develop, test and launch high-quality applications efficiently, on-time and on-budget. Steve graduated from the University of Massachusetts-Lowell with a BS in Electrical Engineering and an MS in Computer Engineering.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


CloudEXPO Stories
The technologies behind big data and cloud computing are converging quickly, offering businesses new capabilities for fast, easy, wide-ranging access to data. However, to capitalize on the cost-efficiencies and time-to-value opportunities of analytics in the cloud, big data and cloud technologies must be integrated and managed properly. Pythian's Director of Big Data and Data Science, Danil Zburivsky will explore: The main technology components and best practices being deployed to take advantage of data and analytics in the cloud, Architecture, integration, governance and security scenarios and Key challenges and success factors of moving data and analytics to the cloud
SYS-CON Events announced today that DatacenterDynamics has been named “Media Sponsor” of SYS-CON's 18th International Cloud Expo, which will take place on June 7–9, 2016, at the Javits Center in New York City, NY. DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addresses many of the challenges faced by developers and operators as monolithic applications transition towards a distributed microservice architecture. A tracing tool like Jaeger analyzes what's happening as a transaction moves through a distributed system. Monitoring software like Prometheus captures time-series events for real-time alerting and other uses. Grafeas and Kritis provide security polic...
Most DevOps journeys involve several phases of maturity. Research shows that the inflection point where organizations begin to see maximum value is when they implement tight integration deploying their code to their infrastructure. Success at this level is the last barrier to at-will deployment. Storage, for instance, is more capable than where we read and write data. In his session at @DevOpsSummit at 20th Cloud Expo, Josh Atwell, a Developer Advocate for NetApp, will discuss the role and value extensible storage infrastructure has in accelerating software development activities, improve code quality, reveal multiple deployment options through automated testing, and support continuous integration efforts. All this will be described using tools common in DevOps organizations.
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more business becomes digital the more stakeholders are interested in this data including how it relates to business. Some of these people have never used a monitoring tool before. They have a question on their mind like "How is my application doing" but no idea how to get a proper answer.