The magnificent seven: Towards a systematic estimation of technical debt interest
Paper i proceeding, 2017

The interest of Technical Debt is difcult to assess. The negative efects (severity) of Technical Debt might depend on the context of the organization and the estimations might be subjective. There is a need for assessing Technical Debt interest in a more systematic way. Based on the results of previous research, we have developed and used a lightweight tool, AnaConDebt, to assess the severity of the interest of 9 Technical Debt items with the stakeholders in 3 Agile teams. The systematic and semi-automatic assessment of seven factors and their growth has been compared to the stakeholders' intuitive estimations. The results show that the outcome of the tool is very close to the estimation given by the stakeholders. The implications are that, if further data support the hypothesis, the severity of the interest can be systematically assessed by the stakeholders by estimating only seven factors in a cost-efective manner with acceptable results.

Interest

Estimation

Technical debt

Case study

Tool

Författare

Antonio Martini

Chalmers, Data- och informationsteknik, Software Engineering

Jan Bosch

Chalmers, Data- och informationsteknik

ACM International Conference Proceeding Series - 2017 XP Scientific Workshops, XP 2017, Cologne, Germany, 22-26 May 2017

a7

Ämneskategorier

Programvaruteknik

DOI

10.1145/3120459.3120467

ISBN

978-1-4503-5264-2