Extraction-Based Regression Test Selection

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

Frequent regression testing is a core activity in agile software development, but large test suites can lead to long test running times, hampering agility. By safe RTS (Regression Test Selection) techniques, a subset of the tests can be identified that cover all tests that can change result since the last run. To pay off in practice, the RTS overhead must be low. Most existing RTS techniques are based on dynamic coverage analysis, making the overhead related to the tests run. We present Extraction-Based RTS, a new safe RTS technique which uses a fast static analysis with very low overhead, related to the size of the modification rather than to the tests run. The method is suitable for program-driven testing, commonly used in agile development, where each test is a piece of code that uses parts of the system under test. We have implemented the method for Java, and bench-marked it on a number of open source projects, showing that it pays off substantially in practice.
Original languageEnglish
Title of host publicationProceedings of the 13th International Conference on Principles and Practices of Programming on the Java Platform
Subtitle of host publicationVirtual Machines, Languages, and Tools
PublisherAssociation for Computing Machinery (ACM)
ISBN (Electronic)978-1-4503-4135-6
DOIs
Publication statusPublished - 2016 Aug 29
Event13th International Conference on Principles and Practices of Programming on the Java Platform: Virtual Machines, Languages, and Tools, PPJ '16 - Lugano, Switzerland
Duration: 2016 Aug 292016 Sept 2

Conference

Conference13th International Conference on Principles and Practices of Programming on the Java Platform: Virtual Machines, Languages, and Tools, PPJ '16
Country/TerritorySwitzerland
CityLugano
Period2016/08/292016/09/02

Subject classification (UKÄ)

  • Computer Science

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