Software development effort estimation is essential for software project planning and management. In this study, we present a spectral clustering algorithm based on symmetric matrixes as an option data processing. It expected that constructing model more similar can increase the accuracy. The research methods employ symmetrical processing experimentation. Four experimental models function point...

Replication studies increase our confidence in previous results when the findings are similar each time, and help mature knowledge by addressing both internal external validity aspects. However, these still rare certain software engineering fields. In this paper, we replicate extend a study, which denotes current state-of-the-art for multi-objective effort estimation, namely CoGEE. We investiga...

Globalization is adding more dimensions to software effort estimation process. The notions of leadership and culture carry with them highly variable assumptions, and thus, must be explicitly modeled. A new model that incorporates leadership and culture is proposed, elaborated and validated. A survey was undertaken to determine the impact of culture and its effect on the software development pro...

Parametric software effort estimation models consisting on a single mathematical relationship suffer from poor adjustment and predictive characteristics in cases in which the historical database considered contains data coming from projects of a heterogeneous nature. The segmentation of the input domain according to clusters obtained from the database of historical projects serves as a tool for...

The research work is an extension of the original UCP Model for software estimation by incorporating the factors that are currently weighted in estimation of software by IT professionals. The rationale of the study is to make UCP Model effective, realistic and more accurate for the current IT industry. To identify the gap between the original UCP model and the current estimation considerations,...

The objective of this paper is to investigate the pertinent question whether multi-organizational data is valuable for software project cost estimation. Local, company-specific data is widely believed to provide a better basis for accurate estimates. On the other hand, multi-organizational databases provide an opportunity for fast data accumulation and shared information benefits. Therefore, th...

Software Cost Estimation can be described as the process of predicting the most realistic effort required to complete a software project. Due to the strong relationship of accurate effort estimations with many crucial project management activities, the research community has been focused on the development and application of a vast variety of methods and models trying to improve the estimation ...

Software effort estimation is a critical part of software engineering. Although many techniques and algorithmic models have been developed and implemented by practitioners, accurate software effort prediction is still a challenging endeavor. In order to address this issue, a novel soft computing framework was previously developed. Our study utilizes this novel framework to develop an approach c...

Software projects often do not meet their scheduling and budgeting targets. Inaccurate estimates are often responsible for this mismatch. This study investigates extant research on factors that affect accuracy of software development effort estimation. The purpose is to synthesize existing knowledge, propose directions for future research, and improve estimation accuracy in practice. A systemat...