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Innovations in Systems and Software Engineering
Erschienen in: Innovations in Systems and Software Engineering 3/2018

18.09.2017 | Original Paper

System dynamics modelling of the impact of agile practice on the quality of continuous delivery projects

verfasst von: Olumide Akerele

Erschienen in: Innovations in Systems and Software Engineering | Ausgabe 3/2018

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Abstract

The adoption of agile practices in software projects has been faced with scepticism by practitioners, with concerns about the actual effectiveness of these practices. Using system dynamics, this study investigates the impact of four popular agile practices, Test-Driven Development, Pair Programming, On-site Customer Involvement and Pair Testing, on the quality of continuous delivery projects. The developed system dynamic model, called the predictive continuous delivery model, was developed with an extensive use of existing literature, supported by survey, interviews, historical data and expert’s judgement. Simulation results showed all the investigated agile practices except pair programming have a significant impact on the quality of continuous delivery projects.
Vorheriger Artikel Managing uncertainty in software projects
Nächster Artikel Re-estimating software effort using prior phase efforts and data mining techniques

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Metadaten
Titel
System dynamics modelling of the impact of agile practice on the quality of continuous delivery projects
verfasst von
Olumide Akerele
Publikationsdatum
18.09.2017
Verlag
Springer London
Erschienen in
Innovations in Systems and Software Engineering / Ausgabe 3/2018
Print ISSN: 1614-5046
Elektronische ISSN: 1614-5054
DOI
https://doi.org/10.1007/s11334-017-0296-z