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TUTCRIS

An Empirical Study on Technical Debt in a Finnish SME

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoAn Empirical Study on Technical Debt in a Finnish SME
KustantajaIEEE
Sivumäärä6
TilaJulkaistu - syyskuuta 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaACM/IEEE International Symposium on Empirical Software Engineering and Measurement - Porto de Galinhas, Pernambuco, Brasilia
Kesto: 19 syyskuuta 201920 syyskuuta 2019

Julkaisusarja

NimiEdit International Symposium on Empirical Software Engineering and Measurement
Vuosikerta2019-Septemer
ISSN (painettu)1949-3770
ISSN (elektroninen)1949-3789

Conference

ConferenceACM/IEEE International Symposium on Empirical Software Engineering and Measurement
MaaBrasilia
KaupunkiPorto de Galinhas, Pernambuco
Ajanjakso19/09/1920/09/19

Tiivistelmä

Background. The need to release our products under tough time constraints has required us to take shortcuts during the implementation of our products and to postpone the correct implementation, thereby accumulating Technical Debt. Objective. In this work, we report the experience of a Finnish SME in managing Technical Debt (TD), investigating the most common types of TD they faced in the past, their causes, and their effects. Method. We set up a focus group in the case-company, involving different roles. Results. The results showed that the most significant TD in the company stems from disagreements with the supplier and lack of test automation. Specification and test TD are the most significant types of TD. Budget and time constraints were identified as the most important root causes of TD. Conclusion. TD occurs when time or budget is limited or the amount of work are not understood properly. However, not all postponed activities generated 'debt'. Sometimes the accumulation of TD helped meet deadlines without a major impact, while in other cases the cost for repaying the TD was much higher than the benefits. From this study, we learned that learning, careful estimations, and continuous improvement could be good strategies to mitigate TD These strategies include iterative validation with customers, efficient communication with stakeholders, meta-cognition in estimations, and value orientation in budgeting and scheduling.

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