نتایج جستجو برای: software cost estimation sce
تعداد نتایج: 1033825 فیلتر نتایج به سال:
The Canadian aerospace industry faces many challenges. One of them is the difficulty in estimating costs. In particular, the design effort required in a project impacts resource requirements and lead-time, and consequently the final cost. This paper presents the findings of a case study conducted for recognized global leader in the design and manufacturing of aircraft engines. The study models ...
Development effort is an undeniable part of the project management which considerably influences the success of project. Inaccurate and unreliable estimation of effort can easily lead to the failure of project. Due to the special specifications, accurate estimation of effort in the software projects is a vital management activity that must be carefully done to avoid from the unforeseen results....
Background: Many comparative studies have been performed on effort estimation models. Linear regression (LR) and Estimation by Analogy (EbA) were often compared. The past research revealed that those comparative studies reported inconsistent results among performance measures. However, those studies seemed not to reflect actual or desirable study procedure. Aim: We aimed to examine performance ...
1 Draft submitted to ICSM 2002 Abstract Effort estimation is a valuable asset to managers in planning maintenance activities and performing cost/benefits analysis. Early estimates and accurate evaluations permit to significantly reduce project risks and to improve resource scheduling. In this paper we present an approach for an early effort estimation based on the knowledge of a fraction of the...
These days, data mining one of the most significant issues. One field data mining is a mixture of computer science and statistics which is considerably limited due to increase in digital data and growth of computational power of computer. One of the domains of data mining is the software cost estimation category. In this article, classifying techniques of learning algorithm of machine ...
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