Software Effort estimation is the process of predicting the effort required to develop software project based on incomplete, uncertain and/or noisy input. Researchers have been working on estimation models to predict effort to be spent on a software project, which is still a complex problem. Estimation models derived by researchers are conclusion of studying large number of completed software p...

Context: software development effort estimation is a crucial management task that critically depends on the adopted size measure. Several Functional Size Measurement (FSM) methods have been proposed. COSMIC is considered a 2nd generation FSM method, to differentiate it from Function Point Analysis (FPA) and its variants, considered as 1st generation ones. In the context of Web applications, few...

This paper revisits the conclusion instability problem identified by Kitchenham, Foss, Myrtveit et.al.; i.e. conclusions regarding which software effort estimation method is “best” is highly contingent on (1) the evaluation criteria and (2) the subset of the data used in the evaluation. Using non-parametric methods (the Mann-Whitney U test), we show how to avoid conclusion instability. This pap...

Software effort estimation research shows that there is no universal agreement on the “best” effort estimation approach. This is largely due to the “ranking instability” problem, which is highly contingent on the evaluation criteria and the subset of the data used in the investigation. There are a large number of different method combination exists for software effort estimation, selecting the ...

This paper exemplifies how better knowledge about human judgement strategies known as heuristics can be used to improve software processes, especially estimation and prediction processes. Human judgement heuristics work well when they exploit a fit between their structure and the structure of the environment in which they are used. This use of environmental fit may lead to amazingly good judgem...

Project Failure is the major problem undergoing nowadays as seen by software project managers. Imprecision of the estimation is the reason for this problem. As software grew in size and importance it also grew in complexity, making it very difficult to accurately predict the cost of software development. This was the dilemma in past years. The greatest pitfall of software industry was the fast ...

Within the software development departments of ASELSAN, software products are developed by using different software development models and test activities are carried out progressively within the process. Considering the continuous improvement of test design activities in a specified process, test effort estimation has a significant role during the project planning. In this article, the method ...

One ofthe major difficulties in controlling software development project cost overruns and schedule delays has been developing practical and accurate software cost models. Software development could be modeled as an economic production process and we therefore propose a theoretical approach to software cost modeling. Specifically, we present the Minimum Software Cost Model (MSCM), derived from ...