This is another in a series of blogs on the topic of Lean Economics, emphasizing the economic aspects of product development. You can find the first post about WIP limits here. As a developer, do you work multiple projects in parallel? As a leader, do you have a team which works multiple features in parallel? Is there more work than people? Parallel Development is working multiple projects or features at the same time, as shown in the diagram below.
It is a common situation I often see when coaching or delivering training. Parallel Development has, unfortunately, become commonplace in industry and accepted as the default standard way of organizing work as our work lives become busier and busier—just assign more and more projects to people, and hope they figure out how a way to get it all done!
Thus, our people need to be good enough to work multiple projects and show good progress on all of them. There are many disadvantages to Parallel Development including:. All of this can lead to a frustrating work environment where employees are routinely interrupted to begin work on a new project with no regard to their current workload. In a Parallel Development approach, the business value of each feature is delayed as the team members routinely multitask by working on multiple projects and features as shown in the figure above.
Time lost in context-switching can be more than time applied to business value. The good news is this: there is a better way! Serial Development is when the Agile team focuses on a single project and single feature at a time. Not convinced? Parallel Development experiences significant context switching costs as the team members bounce back and forth across multiple features and projects trying their best to keep everyone happy.
The generally accepted authority on the cost of context switching comes from the seminal book Quality Software Management: Systems Thinking by Gerald M. Multiplying this by all members of your team can result in significant levels of productivity gain for the entire team! Big Data Expand child menu Expand. Live Project Expand child menu Expand. AI Expand child menu Expand. Toggle Menu Close.
Search for: Search. Testing the updated application against the previous application. Run the old scenario with new software with reserved input conditions. The aim is to find out the outcome as per the previous system. Should have knowledge of the old and newly developed system.
Testing one software only. Cross-Browser or Cross-Platform Testing. Parallel testing has a variety of testing uses. Some scenarios that may be the best fit include:. Product types that particularly benefit from parallel testing can include software with customized UI controls, end user-oriented products, and immature, quickly evolving products that rely on entering the market first to gain users.
Parallel testing is an extension of the logic that applies to all IT sectors. By focusing on practicality, ease, affordability, speed, and scale, parallel testing will likely radically transform testing, leading to continued improvements in software development. These postings are my own and do not necessarily represent BMC's position, strategies, or opinion.
See an error or have a suggestion? Please let us know by emailing blogs bmc. With our history of innovation, industry-leading automation, operations, and service management solutions, and unmatched flexibility and choice, we can help organizations free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead.
December 18, 4 minute read. Brief History of Previous Testing Frameworks Testing is an inherent software development process that has been used for decades as part of the Waterfall approach. With the advent of agile software development and the separation of Development Operations DevOps from IT Operations ITOps , software development has become more scalable and agile than ever.
The extended application of agile and continuous integration principles to testing led to automated testing. Auto testing can reduce time-to-market, essential to successful software launches, without sacrificing quality.
Still, automation is expensive and may not keep up with frequent application changes. Defining parallel testing Parallel testing is a semi-automated testing process that relies on cloud technology and virtualization to perform tests against several configurations at the same time. Parallel testing is not… Understanding what parallel testing is, requires knowing what it is not.
Benefits of parallel testing Because parallel testing relies on running virtual machines in the cloud, invested testing time can be divided by the number of test machines — so testing time can easily be a fraction of what it is in traditional, sequential testing. Leasing test time on a cloud service is much cheaper than building and maintaining an internal testing infrastructure.
Wide compatibility.
0コメント