Test case prioritization

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This proposal is a collaborative effort between IBM CAS Canada and the Data Science Laboratory at Ryerson University to build a software tool-aided test case prioritization model. Software analytics guide practitioners in decision making throughout the software development process. In this context, prediction models can help managers efficiently organize their resources and identify problems by analyzing patterns on existing project data in an intelligent and meaningful manner. It is necessary to have all-in-one tools that manage data collection, analysis, and calibration as well as communicate with existing systems in software organizations to provide valuable information. Over the years we have developed such a tool, called Dione. Dione is a software delivery intelligence and predictive analytics tool for a software delivery platform. It has an intelligent decision optimization engine (mining, filtering, prediction). It integrates data extraction, reporting, and prediction modules for a complete decision support cycle and offers a minimum configuration solution in a platform agnostic manner. In this project we aim to deploy Dione to IBM Rational Team Concert (RTC) to address practical challenges regarding Test Case prioritization. Test case prioritization techniques schedule test cases for execution in an order that attempts to increase their effectiveness in meeting some performance goal. Various goals are possible; one involves rate of fault detection - a measure of how quickly faults are detected within the testing process. An improved rate of fault detection during testing can provide faster feedback on the system under test, and let software engineers begin correcting faults earlier than might otherwise be possible. In the case of successful application of the proposed solution, it will not only impact the product quality of RTC but also be a best practice for the users of it. In other words, this will trigger cascaded benefits for a particular software industry in Canada.