Refereed article in conference proceedings (A4)

Investigating the effects of agile practices and processes on technical Debt - The viewpoint of the brazilian software industry




List of AuthorsCaires V., Rios N., Holvitie J., Leppänen V., De Mendonça Neto M., Spínola R.

EditorsOscar Mortagua Pereira, Angelo Perkusich

Conference nameInternational Conference on Software Engineering and Knowledge Engineering

PublisherKnowledge Systems Institute Graduate School

Publication year2018

JournalInternational Conference on Software Engineering and Knowledge Engineering SEKE

Book title *SEKE 2018: 30th International Conference on Software Engineering and Knowledge Engineering

Journal name in sourceProceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE

Start page506

End page511

ISBN1-891706-44-6

ISSN2325-9000

DOIhttp://dx.doi.org/10.18293/SEKE2018-131


Abstract

The current scenario of software development is characterized by a wide adoption of agile methodologies, which define processes and practices that address a range of problems faced by development teams. However, there is still little information on how these methodologies deal with technical debt(TD). This work presents the results of a replicated survey(originally executed in Finland) whose goal was to investigate which agile practices and processes are sensitive to TD. Despite this replication allows different types of analysis, the focus of this paper will be on the analysis of the effects of the agile practices and processes on TD from the perspective of the Brazilian software industry, where the study was replicated. At total, 62 practitioners from different organizations answered the questionnaire. The results indicated that participants already had a good knowledge about TD, instances of TD reside in the software implementation and are caused due to deficiencies in its architecture, the size of a debt item is proportional to its impact on the project, and, refactoring and iteration have the most positive effect on TD. This replication also contributes to the investigated topic through the accumulation of evidence about the findings, thereby increasing the level of confidence in results.


Last updated on 2021-24-06 at 11:32