2014 Sixth International Workshop on Managing Technical Debt 2014
DOI: 10.1109/mtd.2014.10
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When-to-Release Decisions in Consideration of Technical Debt

Abstract: Shortening release duration is essential in creating competitive products in iterative software development. However, short-term expedients (e.g., code compromises, delayed change requests, etc.) can have long term effects on the maintenance of the software. There are multifaceted factors that influenced the effective management of technical debt in organizations. In this position paper, we propose a formulation of technical debt in the context of (software) product releases, specifically when-to-release decis… Show more

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Cited by 12 publications
(6 citation statements)
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“…They believe that using this ILP method in release planning will help in selecting the most appropriate features backlog based on revenues and costs, which takes into consideration both the business and technical perspectives. Jason Ho and Guenther Ruhe [13] introduced a method called Goal-Questions-Metrics (GQM) which helps in quantifying the technical debt coupled with a specific release in order to be able to give more accurate release dates.…”
Section: Related Workmentioning
confidence: 99%
“…They believe that using this ILP method in release planning will help in selecting the most appropriate features backlog based on revenues and costs, which takes into consideration both the business and technical perspectives. Jason Ho and Guenther Ruhe [13] introduced a method called Goal-Questions-Metrics (GQM) which helps in quantifying the technical debt coupled with a specific release in order to be able to give more accurate release dates.…”
Section: Related Workmentioning
confidence: 99%
“…• Provide insight about various extensions of the SRP problem (e.g., theme-based SRP [6], consideration of quality [7]), technical debt [8] or release readiness [9].…”
Section: Goal and Objectivesmentioning
confidence: 99%
“…10) When to Implement Decisions: Several authors identify reléase planning as the step during which decisions about technical debt management can be executed [40] [41] [45]. Two different decisions have been identified.…”
Section: ) Scenario Analysismentioning
confidence: 99%