University of Oulu

Ram P., Rodriguez P., Oivo M. (2018) Software Process Measurement and Related Challenges in Agile Software Development: A Multiple Case Study. In: Kuhrmann M. et al. (eds) Product-Focused Software Process Improvement. PROFES 2018. Lecture Notes in Computer Science, vol 11271. Springer, Cham

Software process measurement and related challenges in agile software development : a multiple case study

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Author: Ram, Prabhat1; Rodriguez, Pilar1; Oivo, Markku1
Organizations: 1M3S, University of Oulu, 90014 Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.6 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2018121350840
Language: English
Published: Springer Nature, 2018
Publish Date: 2018-12-13
Description:

Abstract

Existing scientific literature highlights the importance of metrics in Agile Software Development (ASD). Still, empirical investigation into metrics in ASD is scarce, particularly in identifying the rationale and the operational challenges associated with metrics. Under the Q-Rapids project (Horizon 2020), we conducted a multiple case study at four Agile companies, using the Goal Question Metric (GQM) approach, to investigate the rationale explaining the choice of process metrics in ASD, and challenges faced in operationalizing them. Results reflect that companies are interested in assessing process aspects like velocity, testing performance, and estimation accuracy, and they prefer custom metrics for these assessments. Companies use metrics as a means to access and even capitalize on the data, erstwhile inaccessible due to technical or process constraints. However, development context of a company can hinder metrics operationalization, manifesting primarily as unavailability of the data required to measure metrics. The other challenge is the uncertain potential of metrics to help derive actionable inputs to facilitate decision-making. Essentially, development context has a strong influence over a company’s choice of process metrics, rationale, and challenges to operationalize these metrics.

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Series: Lecture notes in computer science
ISSN: 0302-9743
ISSN-E: 1611-3349
ISSN-L: 0302-9743
ISBN: 978-3-030-03673-7
ISBN Print: 978-3-030-03672-0
Volume: 11271
DOI: 10.1007/978-3-030-03673-7_20
OADOI: https://oadoi.org/10.1007/978-3-030-03673-7_20
Host publication: Product-Focused Software Process Improvement. PROFES 2018
Conference: International Conference on Product-Focused Software Process Improvement
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Subjects:
GQM
Funding: This work is a result of the Q-Rapids Project, which has received funding from the European Union’s Horizon 2020 research and innovation programme, under grant agreement No. 732253
EU Grant Number: (732253) Q-RAPIDS - Quality-Aware Rapid Software Development
Copyright information: © Springer Nature Switzerland AG 2018. “This is a post-peer-review, pre-copyedit version of an article published in Lecture Notes in Computer Science. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-03673-7_20.