Identification and Measurement of Technical Debt Requirements in Software Development: a Systematic Literature Review
Ana Melo, Roberta Fagundes, Valentina Lenarduzzi, Wylliams Santos

TL;DR
This systematic literature review investigates how technical debt requirements are identified and measured in software development, highlighting existing strategies, metrics, and the need for further research on management tools and interpersonal issues.
Contribution
It provides a comprehensive overview of evidence and metrics for managing technical debt requirements, emphasizing gaps in management tools and interpersonal challenges.
Findings
Identified causes of technical debt requirements
Reviewed strategies for identification and measurement
Provided metrics for assessing technical debt requirements
Abstract
Context: Technical Debt requirements are related to the distance between the ideal value of the specification and the system's actual implementation, which are consequences of strategic decisions for immediate gains, or unintended changes in context. To ensure the evolution of the software, it is necessary to keep it managed. Identification and measurement are the first two stages of the management process; however, they are little explored in academic research in requirements engineering. Objective: We aimed at investigating which evidence helps to strengthen the process of TD requirements management, including identification and measurement. Method: We conducted a Systematic Literature Review through manual and automatic searches considering 7499 studies from 2010 to 2020, and including 61 primary studies. Results: We identified some causes related to Technical Debt requirements,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSoftware Engineering Research · Software Engineering Techniques and Practices · Software Reliability and Analysis Research
