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Key Performance Indicators in Brazilian Software Development Companies: a Survey

Published: 21 December 2024 Publication History

Abstract

This paper addresses the importance of Key Performance Indicators (KPIs) in software development management. These indicators are quantitative and qualitative metrics that help measure, monitor, and evaluate the performance and quality of the software development process. The objective of the study is to identify which KPIs are most commonly used by companies, understand how these indicators positively impact the work of development teams, and analyze the challenges faced in their implementation. The research was conducted through an online survey, collecting data from 13 participants. The results showed that all participants were familiar with KPIs, and most had received adequate training on their use. The most mentioned KPIs were Bug Control, Failure Rate, Impediments, Cycle Time, and Lead Time. The benefits observed included improved communication, increased productivity, and identification of technical bottlenecks. However, participants also highlighted challenges such as process interruptions when expectations are not met and cultural differences. In conclusion, the study indicates that the use of KPIs contributes to improving software development processes and benefits project management. Nevertheless, KPIs must be implemented gradually and continuously monitored to overcome challenges and maximize their benefits.

References

[1]
Adela del Río-Ortega, Manuel Resinas, Cristina Cabanillas, and Antonio Ruiz-Cortés. 2013. On the definition and design-time analysis of process performance indicators. Information Systems 38, 4 (2013), 470–490. Special section on BPM 2011 conference.
[2]
Eladio Domínguez, Beatriz Pérez, Ángel L. Rubio, and María A. Zapata. 2019. A taxonomy for key performance indicators management. Computer Standards & Interfaces 64 (2019), 24–40.
[3]
M. Falck and F. Karlsson. 2011. Key Performance Indicators - The Key to Success? Master’s thesis. Jönköping University, Jönköping.
[4]
Farnaz Fotrousi, Samuel A. Fricker, Markus Fiedler, and Franck Le-Gall. 2014. KPIs for Software Ecosystems: A Systematic Mapping Study. In Software Business. Towards Continuous Value Delivery, Casper Lassenius and Kari Smolander (Eds.). Springer International Publishing, Cham, 194–211.
[5]
Ahmad Nauman Ghazi, Kai Petersen, Sri Sai Vijay Raj Reddy, and Harini Nekkanti. 2019. Survey Research in Software Engineering: Problems and Mitigation Strategies. IEEE Access 7 (2019), 24703–24718.
[6]
Stephen H. Kan. 2002. Metrics and Models in Software Quality Engineering (2 ed.). Addison-Wesley, Boston, MA, USA.
[7]
Jukka Mannila. 2014. Key Performance Indicators in Agile Software Development. In Proceedings of the IEEE/ACM International Conference on Software Engineering (ICSE). IEEE/ACM.
[8]
Alejandro Maté, Kostas Zoumpatianos, Themis Palpanas, Juan Trujillo, John Mylopoulos, and Elvis Koci. 2014. A Systematic Approach for Dynamic Targeted Monitoring of KPIs. In Proceedings of the 2014 Conference of the Center for Advanced Studies on Collaborative Research (CASCON). IBM Corp., 30–44. https://disi.unitn.it/ themis/publications/cascon14.pdf
[9]
Jefferson Seide Molléri, Kai Petersen, and Emilia Mendes. 2016. Survey Guidelines in Software Engineering: An Annotated Review. In Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement(ESEM ’16). Association for Computing Machinery, New York, NY, USA.
[10]
Trailokya Raj Ojha. 2014. Analysis of Key Performance Indicators in Software Development. Master’s thesis. Tampere University of Technology, Tampere, Finland. https://trepo.tuni.fi/handle/123456789/22244
[11]
Luis Olsina and Ma de los Angeles Martíngidis. ano de publicação desconhecido. Ontology for Software Metrics and Indicators. Department of Informatics, Engineering School at Universidad Nacional de La Pampa (ano de publicação desconhecido).
[12]
Daniela C. A. Pigosso and et al.2010. Maintenance Productivity Indicators: An Analysis of Practices in Industry. Journal of Software Maintenance and Evolution 22, 4 (2010), 285–304.
[13]
Viara Popova and Alexei Sharpanskykh. 2010. Modeling organizational performance indicators. Information Systems 35, 4 (2010), 505–527. Vocabularies, Ontologies and Rules for Enterprise and Business Process Modeling and Management.
[14]
Forrest Shull, Janice Singer, and Dag I.K. Sjøberg. 2008. Guide to Advanced Empirical Software Engineering. Springer, Maryland, USA.
[15]
Maike Vollstedt and Sebastian Rezat. 2019. An Introduction to Grounded Theory with a Special Focus on Axial Coding and the Coding Paradigm. Springer International Publishing, Cham, 81–100.

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  1. Key Performance Indicators in Brazilian Software Development Companies: a Survey

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    cover image ACM Other conferences
    SBQS '24: Proceedings of the XXIII Brazilian Symposium on Software Quality
    November 2024
    763 pages
    ISBN:9798400717772
    DOI:10.1145/3701625
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 21 December 2024

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    Author Tags

    1. Performance
    2. Software Management
    3. Key Performance Indicators
    4. KPI
    5. Software Process
    6. Survey

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    • Research-article

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    • CNPq/Brazil

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    SBQS 2024
    SBQS 2024: XXIII Brazilian Symposium on Software Quality
    November 5 - 8, 2024
    Bahia, Salvador, Brazil

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    Overall Acceptance Rate 35 of 99 submissions, 35%

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