Review Time as Predictor for the Quality of Model Inspections

Marian Daun, Meenakshi Manjunath, Jennifer Brings

2024

Abstract

Software inspections play an important part in ensuring the quality of software development. With the emergence of model-based development approaches, there is also a need for model inspections to ensure correctness of model-based artifacts. In practice, ad hoc inspections are regularly conducted, often by new and rather inexperienced colleagues, which are asked spontaneously to review an artifact of interest. The use of novices, such as trainees or student assistants, allows shorter review cycles at reduced costs. The quality of these ad hoc inspections is commonly attributed to different factors, often related to the reviewer. Increasing review time can be seen as an indicator that the reviewer takes the review serious. Furthermore, with more time spent, it can be assumed that more defects will be found. In this paper, we report the results of an experiment on ad hoc model inspections. Our results show that – contradictory to these assumptions and empirical findings from inspections of textual documents – the review time a reviewer decides to spend on a review has no significant influence on the effectiveness of ad hoc model inspections.

Paper Citation

in Harvard Style

Daun M., Manjunath M. and Brings J. (2024). Review Time as Predictor for the Quality of Model Inspections. In Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE; ISBN 978-989-758-696-5, SciTePress, pages 120-131. DOI: 10.5220/0012682900003687

in Bibtex Style

@conference{enase24,
author={Marian Daun and Meenakshi Manjunath and Jennifer Brings},
title={Review Time as Predictor for the Quality of Model Inspections},
booktitle={Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE},
year={2024},
pages={120-131},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012682900003687},
isbn={978-989-758-696-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE
TI - Review Time as Predictor for the Quality of Model Inspections
SN - 978-989-758-696-5
AU - Daun M.
AU - Manjunath M.
AU - Brings J.
PY - 2024
SP - 120
EP - 131
DO - 10.5220/0012682900003687
PB - SciTePress