Yazılım geliştirme süresi kestiriminde proje benzerliğinin kullanılması.

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Tezin Türü: Doktora

Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Türkiye

Tezin Onay Tarihi: 2013

Tezin Dili: İngilizce

Öğrenci: Semra Yilmaz Taştekin

Danışman: SEMİH BİLGEN

Özet:

Accurate development time estimation is crucial for project management in general, and critical for software intensive systems projects, in particular. Before beginning the project, little information is available for development details. Therefore, development time may not be estimated correctly. If data on previous projects in the same domain is available, this can be used for development time estimations. At the beginning of the project, requirements are defined and requirements specification document is created as a formal document in the organizations. By using the reused requirements from previous projects, a similarity analysis can be performed and this analysis can be used for development time estimation. This study investigates the applicability of a model that was proposed earlier for project management in general, in software intensive systems development projects. In this scope, the impact of requirements reuse on product development duration for different products in a similar domain is studied. Similarity analysis has been performed for different products in the same domain and the result of this analysis is used to estimate the development time. For development time estimation, Griffin’s model [9] is used. For the applicability of Griffin’s model for industrial companies, nine case studies from different organizations have been performed for software and system development projects which consist of hardware and software components. The results of the case studies are compared with Griffin’s model. According to the empirical results, a modification to Griffin’s formulation for product development time is proposed for software projects. For the projects which include only software or both software and hardware, the proposed model will guide project managers to estimate project budgets more accurately.