Home /Research /Fail Fast - Fail Often: Enhancing Agile Methodology using Dynamic\n Regression, Code Bisector and Code Quality in Continuous Integration (CI)
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Fail Fast - Fail Often: Enhancing Agile Methodology using Dynamic\n Regression, Code Bisector and Code Quality in Continuous Integration (CI)

Sandeep Sivanandan

Year
2015
Citations
2
Access
Open access

Abstract

Agile practices are receiving considerable attention from industry as an\nalternative to traditional software development approaches. However, there are\na number of challenges in combining Agile [2] with Test-driven development\n(TDD) [10] practices, cloud deployments, continuous integration (CI), non-stop\nperformance, load, security and accessibly testing. From these challenges;\nContinuous Integration is a relatively an approach widely discussed and\npracticed in software testing. This paper describes an approach for improved\nAgile Methodology using Code Quality, Code Bisector and Dynamic Regression in\nContinuous Integration. The set of tools used for this analysis, design and\ndevelopment are Jenkins, Robot Framework [4], Perforce and Git.\n

Keywords

Agile software developmentComputer scienceDevelopment testingRegression testingSoftware engineeringAgile Unified ProcessQuality (philosophy)Code (set theory)SoftwareSoftware quality

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