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Code and commit metrics of developer productivity: a study on team leaders perceptions

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Abstract

Context

Developer productivity is essential to the success of software development organizations. Team leaders use developer productivity information for managing tasks in a software project. Developer productivity metrics can be computed from software repositories data to support leaders’ decisions. We can classify these metrics in code-based metrics, which rely on the amount of produced code, and commit-based metrics, which rely on commit activity. Although metrics can assist a leader, organizations usually neglect their usage and end up sticking to the leaders’ subjective perceptions only.

Objective

We aim to understand whether productivity metrics can complement the leaders’ perceptions. We also aim to capture leaders’ impressions about relevance and adoption of productivity metrics in practice.

Method

This paper presents a multi-case empirical study performed in two organizations active for more than 18 years. Eight leaders of nine projects have ranked the developers of their teams by productivity. We quantitatively assessed the correlation of leaders’ rankings versus metric-based rankings. As a complement, we interviewed leaders for qualitatively understanding the leaders’ impressions about relevance and adoption of productivity metrics given the computed correlations.

Results

Our quantitative data suggest a greater correlation of the leaders’ perceptions with code-based metrics when compared to commit-based metrics. Our qualitative data reveal that leaders have positive impressions of code-based metrics and potentially would adopt them.

Conclusions

Data triangulation of productivity metrics and leaders’ perceptions can strengthen the organization conviction about productive developers and can reveal productive developers not yet perceived by team leaders and probably underestimated in the organization.

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Notes

  1. Plots of the joint distributions between calculated metric values and rankings (metric-based and leader-informed) are available online at https://doi.org/10.5281/zenodo.3534258

  2. http://slack.com

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Authors and Affiliations

  1. Federal University of Amazonas (UFAM), Manaus, Brazil

    Edson Oliveira, Marco Cristo & Tayana Conte

  2. Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil

    Eduardo Fernandes & Alessandro Garcia

  3. Federal University of Technology – Paraná (UTFPR), Curitiba, Brazil

    Igor Steinmacher

  4. Northern Arizona University, Flagstaff, AZ, USA

    Igor Steinmacher

Authors
  1. Edson Oliveira
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  2. Eduardo Fernandes
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  3. Igor Steinmacher
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  4. Marco Cristo
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  5. Tayana Conte
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  6. Alessandro Garcia
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Corresponding author

Correspondence to Edson Oliveira.

Additional information

Communicated by: Gabriele Bavota

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

We thank the financial support from SEFAZ/AM, UFAM, CNPq via grants 430642/2016-4, 423149/2016-4, 311494/2017-0, 204081/2018-1/PDE, 465614/2014-0, 308380/2016-9 and 434969/2018-4, CAPES via grants 175956/2013, 175956, 117875 and 153363/2018-5, FAPERJ via grants E-26/200.773/2019, 102166/2013, 225207/2016, 211033/2019, 202621/2019, National Science Foundation #1815503. Finally, we also thank the participating organizations and their employees, and the support of USES Research Group members.

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Oliveira, E., Fernandes, E., Steinmacher, I. et al. Code and commit metrics of developer productivity: a study on team leaders perceptions. Empir Software Eng 25, 2519–2549 (2020). https://doi.org/10.1007/s10664-020-09820-z

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