Software Process Measurement and Related Challenges in Agile Software Development: A Multiple Case Study
September 04, 2018 Β· Declared Dead Β· π International Conference on Product Focused Software Process Improvement
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Authors
Prabhat Ram, Pilar Rodriguez, Markku Oivo
arXiv ID
1809.00860
Category
cs.SE: Software Engineering
Citations
29
Venue
International Conference on Product Focused Software Process Improvement
Last Checked
4 months ago
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...(check the paper for full Abstract)
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