When to use data from other projects for effort estimation

Ekrem Kocaguneli; Gregory Gay; Tim Menzies; Ye Yang; Jacky W.K Eung

doi:10.1145/1858996.1859061

When to use data from other projects for effort estimation

Ekrem Kocaguneli, Gregory Gay, Tim Menzies, Ye Yang, Jacky W.K Eung

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

43 Citations (Scopus)

Abstract

Collecting the data required for quality prediction within a development team is time-consuming and expensive. An alternative to make predictions using data that crosses from other projects or even other companies. We show that with/without relevancy filtering, imported data performs the same/worse (respectively) than using local data. Therefore,we recommend the use of relevancy filtering whenever generating estimates using data from another project. © 2010 ACM.

Original language	English
Title of host publication	ASE'10 - Proceedings of the IEEE/ACM International Conference on Automated Software Engineering
Pages	321-324
DOIs	https://doi.org/10.1145/1858996.1859061
Publication status	Published - 2010
Externally published	Yes
Event	25th IEEE/ACM International Conference on Automated Software Engineering, ASE'10 - Antwerp, Belgium Duration: 20 Sept 2010 → 24 Sept 2010

Conference

Conference	25th IEEE/ACM International Conference on Automated Software Engineering, ASE'10
Place	Belgium
City	Antwerp
Period	20/09/10 → 24/09/10

Research Keywords

Cross
Data mining
Effort estimation
Within

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10.1145/1858996.1859061

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title = "When to use data from other projects for effort estimation",

abstract = "Collecting the data required for quality prediction within a development team is time-consuming and expensive. An alternative to make predictions using data that crosses from other projects or even other companies. We show that with/without relevancy filtering, imported data performs the same/worse (respectively) than using local data. Therefore,we recommend the use of relevancy filtering whenever generating estimates using data from another project. {\textcopyright} 2010 ACM.",

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author = "Ekrem Kocaguneli and Gregory Gay and Tim Menzies and Ye Yang and Eung, {Jacky W.K}",

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language = "English",

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Kocaguneli, E, Gay, G, Menzies, T, Yang, Y & Eung, JWK 2010, When to use data from other projects for effort estimation. in ASE'10 - Proceedings of the IEEE/ACM International Conference on Automated Software Engineering. pp. 321-324, 25th IEEE/ACM International Conference on Automated Software Engineering, ASE'10, Antwerp, Belgium, 20/09/10. https://doi.org/10.1145/1858996.1859061

When to use data from other projects for effort estimation. / Kocaguneli, Ekrem; Gay, Gregory; Menzies, Tim et al.
ASE'10 - Proceedings of the IEEE/ACM International Conference on Automated Software Engineering. 2010. p. 321-324.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - When to use data from other projects for effort estimation

AU - Kocaguneli, Ekrem

AU - Gay, Gregory

AU - Menzies, Tim

AU - Yang, Ye

AU - Eung, Jacky W.K

PY - 2010

Y1 - 2010

N2 - Collecting the data required for quality prediction within a development team is time-consuming and expensive. An alternative to make predictions using data that crosses from other projects or even other companies. We show that with/without relevancy filtering, imported data performs the same/worse (respectively) than using local data. Therefore,we recommend the use of relevancy filtering whenever generating estimates using data from another project. © 2010 ACM.

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KW - Cross

KW - Data mining

KW - Effort estimation

KW - Within

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M3 - RGC 32 - Refereed conference paper (with host publication)

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EP - 324

BT - ASE'10 - Proceedings of the IEEE/ACM International Conference on Automated Software Engineering

T2 - 25th IEEE/ACM International Conference on Automated Software Engineering, ASE'10

Y2 - 20 September 2010 through 24 September 2010

ER -

When to use data from other projects for effort estimation

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