During the last couple of decades, CASE (Computer Aided Software Engineering) tools have played a critical role in improvement of software productivity and quality by assisting tasks in software development processes. Many initiatives in the field were pursued in the 1980’s and 1990’s to provide more effective CASE technologies and development environments. Even though the CASE field is no lon...

Context: Analogy-based software development effort estimation (ASEE) techniques have gained considerable attention from the software engineering community. However, to our knowledge, no systematic mapping has been created of ASEE studies and no review has been carried out to analyze the empirical evidence on the performance of ASEE techniques. Objective: The objective of this research is twofol...

One of the problems in software cost estimation is how to evaluate estimation models. Estimation models are usually evaluated against two attributes: estimation accuracy and estimation consistency. A number of measures are reported in the literature, but they have shortcomings. There is no generally accepted standard to evaluate estimation models and the existing measures sometimes are not cons...

Software development involves a number of interrelated factors which affect development effort and productivity. Since many of these relationships are not well understood, accurate estimation of so&are development time and effort is a dificult problem. Most estimation models in use or proposed in the literature are based on regression techniques. This paper examines the potential of two artijci...

This paper deals with the problem of software effort estimation through the use of a new machine learning technique for producing reliable confidence measures in predictions. More specifically, we propose the use of Conformal Predictors (CPs), a novel type of prediction algorithms, as a means for providing effort estimations for software projects in the form of predictive intervals according to...

Project planning is one of the most important activities in software projects. Poor planning often leads to project faults and dramatic outcomes for the project team. If cost and effort are determined pessimistic in software projects, suitable occasions can be missed; whereas optimistic predictions can be caused to some resource losing. Nowadays software project managers should be aware of the ...

-In software industry Constructive Cost Model (COCOMO) is considered to be the most widely used model for effort estimation. Cost drivers have significant influence on the COCOMO and this research investigates the role of cost drivers in improving the precision of effort estimation. It is important to stress that uncertainty at the input level of the COCOMO yields uncertainty at the output, whi...

This paper examines how a team of software professionals goes about estimating the effort of a software project using a judgment-based, bottom-up estimation approach. By employing a social practice perspective that highlights the distributed character of expertise and conceives actions as mediated by cultural tools, the paper analyzes the interactional process through which the estimation tasks...

The main goal of software project cost and effort estimation is to scientifically estimate the required workload and its corresponding costs in the life cycle of software system. Software cost estimation is a complex activity that requires knowledge of a number of key attributes that affect the outcomes of software projects, both individually and in concert. The most critical problem is the lot...

Global Software Development, also known as Distributed Software Development, is originally an outsourcing technique in which the development teams hailing from diverse cultural backgrounds and located at distant remote locations participate in the software development efforts and provide their services through a tightly coupled computer networks like Internet. Accurate software cost and effort ...