Software development effort estimation based on significant productivity factors: general and company specific models
Author: Dutta, Soumitra ; Maxwell, K. ; Van Wassenhove, Luk N.INSEAD Area: Technology and Operations Management Series: Working Paper ; 95/80/TM Publisher: Fontainebleau : INSEAD, 1995.Language: EnglishDescription: 29 p.Type of document: INSEAD Working Paper Online Access: Click here Abstract: The limitation of existing software development effort estimation models suggest the need for the development of simple effort estimation models based on the prior determination of the independent factors which explain productivity variation of a given database. This paper builds on our previous research which investigated the software productivity of a European Space Agency database consisting of 108 software development projects. The objectives of this paper were firstly, to develop and evaluate simple empirical effort estimation models which include only those productivity factors found to be significant for these projects; and secondly, to determine if models based on a multi-company database can be successfully used to make effort estimations within a specific company. This was accomplished by developing company specific effort estimation models based on significant productivity factors of a particular company and by comparing the results with those of the general ESA model| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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Digital Library | Available | BC001137 |
The limitation of existing software development effort estimation models suggest the need for the development of simple effort estimation models based on the prior determination of the independent factors which explain productivity variation of a given database. This paper builds on our previous research which investigated the software productivity of a European Space Agency database consisting of 108 software development projects. The objectives of this paper were firstly, to develop and evaluate simple empirical effort estimation models which include only those productivity factors found to be significant for these projects; and secondly, to determine if models based on a multi-company database can be successfully used to make effort estimations within a specific company. This was accomplished by developing company specific effort estimation models based on significant productivity factors of a particular company and by comparing the results with those of the general ESA model
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