On the use of DEA for software development productivity measurement

Research output: Contribution to journalJournal articlepeer-review

Standard

On the use of DEA for software development productivity measurement. / Asmild, Mette; Imperatore, Francisco .

In: The Data Envelopment Analysis Journal, Vol. 2, No. 1, 2016, p. 81-111.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Asmild, M & Imperatore, F 2016, 'On the use of DEA for software development productivity measurement', The Data Envelopment Analysis Journal, vol. 2, no. 1, pp. 81-111. https://doi.org/10.1561/103.00000011

APA

Asmild, M., & Imperatore, F. (2016). On the use of DEA for software development productivity measurement. The Data Envelopment Analysis Journal, 2(1), 81-111. https://doi.org/10.1561/103.00000011

Vancouver

Asmild M, Imperatore F. On the use of DEA for software development productivity measurement. The Data Envelopment Analysis Journal. 2016;2(1):81-111. https://doi.org/10.1561/103.00000011

Author

Asmild, Mette ; Imperatore, Francisco . / On the use of DEA for software development productivity measurement. In: The Data Envelopment Analysis Journal. 2016 ; Vol. 2, No. 1. pp. 81-111.

Bibtex

@article{c174abe44c004ebc8d330af8398384fb,
title = "On the use of DEA for software development productivity measurement",
abstract = "This paper first, based on a thorough review of the relevant literature, provides a general discussion of some of the many aspects one should consider when using Data Envelopment Analysis (DEA) to measure the efficiency of software development. It then contains a case study which investigates a few of the important aspects. Finally it provides recommendations and directions for future research in the area.Rather than simply presenting a {"}final{"} set of results, the empirical study takes a step-by-step approach to considering, and thus illustrating, some of the issues to be aware of when doing empirical analysis, many of which are not limited to efficiency assessment of software development. Thus this paper, besides providing a thorough literature review and resulting guidelines specifically for the analysis of software development productivity, also aims at providing a practical {"}how to{"} guide for the empirical analysis that can be used more generally.In terms of actual empirical results, we find a clear indication of variable returns to scale, of differences between new and evolutions developments and some indications of differences between programming languages. We also include potentially relevant variables such as requirements volatility, reliability (number of defects) and discuss many other relevant variables, for which data were not available here.",
author = "Mette Asmild and Francisco Imperatore",
year = "2016",
doi = "10.1561/103.00000011",
language = "English",
volume = "2",
pages = "81--111",
journal = "The Data Envelopment Analysis Journal",
issn = "2161-1823",
publisher = "Now Publishers Inc",
number = "1",

}

RIS

TY - JOUR

T1 - On the use of DEA for software development productivity measurement

AU - Asmild, Mette

AU - Imperatore, Francisco

PY - 2016

Y1 - 2016

N2 - This paper first, based on a thorough review of the relevant literature, provides a general discussion of some of the many aspects one should consider when using Data Envelopment Analysis (DEA) to measure the efficiency of software development. It then contains a case study which investigates a few of the important aspects. Finally it provides recommendations and directions for future research in the area.Rather than simply presenting a "final" set of results, the empirical study takes a step-by-step approach to considering, and thus illustrating, some of the issues to be aware of when doing empirical analysis, many of which are not limited to efficiency assessment of software development. Thus this paper, besides providing a thorough literature review and resulting guidelines specifically for the analysis of software development productivity, also aims at providing a practical "how to" guide for the empirical analysis that can be used more generally.In terms of actual empirical results, we find a clear indication of variable returns to scale, of differences between new and evolutions developments and some indications of differences between programming languages. We also include potentially relevant variables such as requirements volatility, reliability (number of defects) and discuss many other relevant variables, for which data were not available here.

AB - This paper first, based on a thorough review of the relevant literature, provides a general discussion of some of the many aspects one should consider when using Data Envelopment Analysis (DEA) to measure the efficiency of software development. It then contains a case study which investigates a few of the important aspects. Finally it provides recommendations and directions for future research in the area.Rather than simply presenting a "final" set of results, the empirical study takes a step-by-step approach to considering, and thus illustrating, some of the issues to be aware of when doing empirical analysis, many of which are not limited to efficiency assessment of software development. Thus this paper, besides providing a thorough literature review and resulting guidelines specifically for the analysis of software development productivity, also aims at providing a practical "how to" guide for the empirical analysis that can be used more generally.In terms of actual empirical results, we find a clear indication of variable returns to scale, of differences between new and evolutions developments and some indications of differences between programming languages. We also include potentially relevant variables such as requirements volatility, reliability (number of defects) and discuss many other relevant variables, for which data were not available here.

U2 - 10.1561/103.00000011

DO - 10.1561/103.00000011

M3 - Journal article

VL - 2

SP - 81

EP - 111

JO - The Data Envelopment Analysis Journal

JF - The Data Envelopment Analysis Journal

SN - 2161-1823

IS - 1

ER -

ID: 168909424