Software metrics in agile software: An empirical study

Giuseppe Destefanis; Steve Counsell; Giulio Concas; Roberto Tonelli

doi:10.1007/978-3-319-06862-6

Software metrics in agile software: An empirical study

Giuseppe Destefanis, Steve Counsell, Giulio Concas, Roberto Tonelli

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

23 Citations (Scopus)

Abstract

This paper presents a software metrics analysis of eight object-oriented systems. Five systems had been developed using Agile methodologies and three using plan-driven methodologies; three systems were written in Python and five in Java. For each system, we considered 10 traditional metrics such as LOC and the Chidamber and Kemerer metrics. These metrics were computed at class level. In our study we present empirical results considering systems developed with Agile methodologies and we compare them with previous results for non Agile systems. In particular, we verify that the distributions of software metrics in a software system developed using Agile methodologies does not differ from the distribution in systems developed using plan-driven methodologies.

Original language	English
Title of host publication	Agile Processes in Software Engineering and Extreme Programming - 15th International Conference, XP 2014, Proceedings
Publisher	Springer Nature
Pages	157-170
Number of pages	14
Volume	179 LNBIP
ISBN (Print)	9783319068619
DOIs	https://doi.org/10.1007/978-3-319-06862-6
Publication status	Published - 2014
Event	15th International Conference on Agile Software Development, XP 2014 - Rome, Italy Duration: 26 May 2014 → 30 May 2014

Publication series

Name	Lecture Notes in Business Information Processing
Volume	179 LNBIP
ISSN (Print)	1865-1348

Conference

Conference	15th International Conference on Agile Software Development, XP 2014
Country/Territory	Italy
City	Rome
Period	26/05/14 → 30/05/14

Keywords

Agile
Data mining
Object-oriented programming
Software metrics

Access to Document

10.1007/978-3-319-06862-6

Cite this

Destefanis, G., Counsell, S., Concas, G., & Tonelli, R. (2014). Software metrics in agile software: An empirical study. In Agile Processes in Software Engineering and Extreme Programming - 15th International Conference, XP 2014, Proceedings (Vol. 179 LNBIP, pp. 157-170). (Lecture Notes in Business Information Processing; Vol. 179 LNBIP). Springer Nature. https://doi.org/10.1007/978-3-319-06862-6

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Destefanis, G, Counsell, S, Concas, G & Tonelli, R 2014, Software metrics in agile software: An empirical study. in Agile Processes in Software Engineering and Extreme Programming - 15th International Conference, XP 2014, Proceedings. vol. 179 LNBIP, Lecture Notes in Business Information Processing, vol. 179 LNBIP, Springer Nature, pp. 157-170, 15th International Conference on Agile Software Development, XP 2014, Rome, Italy, 26/05/14. https://doi.org/10.1007/978-3-319-06862-6

Software metrics in agile software: An empirical study. / Destefanis, Giuseppe; Counsell, Steve; Concas, Giulio et al.
Agile Processes in Software Engineering and Extreme Programming - 15th International Conference, XP 2014, Proceedings. Vol. 179 LNBIP Springer Nature, 2014. p. 157-170 (Lecture Notes in Business Information Processing; Vol. 179 LNBIP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - This paper presents a software metrics analysis of eight object-oriented systems. Five systems had been developed using Agile methodologies and three using plan-driven methodologies; three systems were written in Python and five in Java. For each system, we considered 10 traditional metrics such as LOC and the Chidamber and Kemerer metrics. These metrics were computed at class level. In our study we present empirical results considering systems developed with Agile methodologies and we compare them with previous results for non Agile systems. In particular, we verify that the distributions of software metrics in a software system developed using Agile methodologies does not differ from the distribution in systems developed using plan-driven methodologies.

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Software metrics in agile software: An empirical study

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