Effort prediction in iterative software development processes - incremental versus global prediction models

Pekka Abrahamsson; Raimund Moser; Witold Pedrycz; Alberto Sillitti; Giancarlo Succi

doi:10.1109/ESEM.2007.16

Effort prediction in iterative software development processes - incremental versus global prediction models

Pekka Abrahamsson, Raimund Moser, Witold Pedrycz, Alberto Sillitti, Giancarlo Succi

VTT Technical Research Centre of Finland

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

57 Citations (Scopus)

Abstract

Estimation of development effort without imposing overhead on the project and the development team is of paramount importance for any software company. This study proposes a new effort estimation methodology aimed at agile and iterative development environments not suitable for description by traditional prediction methods. We propose a detailed development methodology, discuss a number of architectures of such models (including a wealth of augmented regression models and neural networks) and include a thorough case study of Extreme Programming (XP) in two semi-industrial projects. The results of this research evidence that in the XP environment under study the proposed incremental model outperforms traditional estimation techniques most notably in early phases of development. Moreover, when dealing with new projects, the incremental model can be developed from scratch without resorting itself to historic data. (27 refs.)

Original language	English
Title of host publication	1st International Symposium on Empirical Software Engineering and Measurement, ESEM 2007
Place of Publication	Piscataway
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	344-353
ISBN (Print)	978-0-7695-2886-1
DOIs	https://doi.org/10.1109/ESEM.2007.16
Publication status	Published - 2007
MoE publication type	A4 Article in a conference publication
Event	1st International Symposium on Empirical Software Engineering and Measurement, ESEM 2007 - Madrid, Spain Duration: 20 Sept 2007 → 21 Sept 2007

Conference

Conference	1st International Symposium on Empirical Software Engineering and Measurement, ESEM 2007
Country/Territory	Spain
City	Madrid
Period	20/09/07 → 21/09/07

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10.1109/ESEM.2007.16

Cite this

Abrahamsson, P., Moser, R., Pedrycz, W., Sillitti, A., & Succi, G. (2007). Effort prediction in iterative software development processes - incremental versus global prediction models. In 1st International Symposium on Empirical Software Engineering and Measurement, ESEM 2007 (pp. 344-353). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/ESEM.2007.16

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title = "Effort prediction in iterative software development processes - incremental versus global prediction models",

abstract = "Estimation of development effort without imposing overhead on the project and the development team is of paramount importance for any software company. This study proposes a new effort estimation methodology aimed at agile and iterative development environments not suitable for description by traditional prediction methods. We propose a detailed development methodology, discuss a number of architectures of such models (including a wealth of augmented regression models and neural networks) and include a thorough case study of Extreme Programming (XP) in two semi-industrial projects. The results of this research evidence that in the XP environment under study the proposed incremental model outperforms traditional estimation techniques most notably in early phases of development. Moreover, when dealing with new projects, the incremental model can be developed from scratch without resorting itself to historic data. (27 refs.)",

author = "Pekka Abrahamsson and Raimund Moser and Witold Pedrycz and Alberto Sillitti and Giancarlo Succi",

year = "2007",

doi = "10.1109/ESEM.2007.16",

language = "English",

isbn = "978-0-7695-2886-1",

pages = "344--353",

booktitle = "1st International Symposium on Empirical Software Engineering and Measurement, ESEM 2007",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

note = "1st International Symposium on Empirical Software Engineering and Measurement, ESEM 2007 ; Conference date: 20-09-2007 Through 21-09-2007",

}

Abrahamsson, P, Moser, R, Pedrycz, W, Sillitti, A & Succi, G 2007, Effort prediction in iterative software development processes - incremental versus global prediction models. in 1st International Symposium on Empirical Software Engineering and Measurement, ESEM 2007. IEEE Institute of Electrical and Electronic Engineers, Piscataway, pp. 344-353, 1st International Symposium on Empirical Software Engineering and Measurement, ESEM 2007, Madrid, Spain, 20/09/07. https://doi.org/10.1109/ESEM.2007.16

Effort prediction in iterative software development processes - incremental versus global prediction models. / Abrahamsson, Pekka; Moser, Raimund; Pedrycz, Witold et al.
1st International Symposium on Empirical Software Engineering and Measurement, ESEM 2007. Piscataway: IEEE Institute of Electrical and Electronic Engineers, 2007. p. 344-353.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Effort prediction in iterative software development processes - incremental versus global prediction models

AU - Abrahamsson, Pekka

AU - Moser, Raimund

AU - Pedrycz, Witold

AU - Sillitti, Alberto

AU - Succi, Giancarlo

PY - 2007

Y1 - 2007

N2 - Estimation of development effort without imposing overhead on the project and the development team is of paramount importance for any software company. This study proposes a new effort estimation methodology aimed at agile and iterative development environments not suitable for description by traditional prediction methods. We propose a detailed development methodology, discuss a number of architectures of such models (including a wealth of augmented regression models and neural networks) and include a thorough case study of Extreme Programming (XP) in two semi-industrial projects. The results of this research evidence that in the XP environment under study the proposed incremental model outperforms traditional estimation techniques most notably in early phases of development. Moreover, when dealing with new projects, the incremental model can be developed from scratch without resorting itself to historic data. (27 refs.)

AB - Estimation of development effort without imposing overhead on the project and the development team is of paramount importance for any software company. This study proposes a new effort estimation methodology aimed at agile and iterative development environments not suitable for description by traditional prediction methods. We propose a detailed development methodology, discuss a number of architectures of such models (including a wealth of augmented regression models and neural networks) and include a thorough case study of Extreme Programming (XP) in two semi-industrial projects. The results of this research evidence that in the XP environment under study the proposed incremental model outperforms traditional estimation techniques most notably in early phases of development. Moreover, when dealing with new projects, the incremental model can be developed from scratch without resorting itself to historic data. (27 refs.)

U2 - 10.1109/ESEM.2007.16

DO - 10.1109/ESEM.2007.16

M3 - Conference article in proceedings

SN - 978-0-7695-2886-1

SP - 344

EP - 353

BT - 1st International Symposium on Empirical Software Engineering and Measurement, ESEM 2007

PB - IEEE Institute of Electrical and Electronic Engineers

CY - Piscataway

T2 - 1st International Symposium on Empirical Software Engineering and Measurement, ESEM 2007

Y2 - 20 September 2007 through 21 September 2007

ER -

Effort prediction in iterative software development processes - incremental versus global prediction models

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