Software effort estimation is still a significant challenge for software management. Although Functional Size Measurement (FSM) methods have been standardized and have become widely used by the software organizations, the relationship between functional size and development effort still needs further investigation. Most of the studies focus on the project cost drivers and consider total softwar...

Accurate estimation of software development effort is a very difficult job.Both under estimation as well as over estimation can lead to serious consequences. So its very important to find a technique which can yield accurate results for software effort estimation. Here in our paper we have evaluated various machine learning techniques for software effort estimation like bagging, decision trees,...

Both Agile Software Development (ASD) and Global Software Development (GSD) are 21 century trends in the software industry. Many studies are reported in the literature wherein software companies have applied an agile method or practice GSD. Given that effort estimation plays a remarkable role in software project management, how do companies perform effort estimation when they use agile method i...

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...

Despite the progress in agent oriented software engineering, there is still a long way before achieving maturity. Among others, there is a lack of shared experience in evaluating the cost when developing software using the agent paradigm. This paper provides some results on this issue. It collects data from real agent based projects and gives hints for the application of existing software cost ...

Software estimation is a crucial task in software engineering. Software estimation encompasses cost, effort, schedule, and size. The importance of software estimation becomes critical in the early stages of the software life cycle when the details of software have not been revealed yet. Several commercial and non-commercial tools exist to estimate software in the early stages. Most software eff...

Software Effort Estimation has been researched for over 25 years but until today no real effective model could be designed that could efficiently gauge the effort required for heterogeneous project data. Reusability factors of software development have been used to design a new effort estimation model called REBEE. This encompasses the usage of Fuzzy Logic and Dynamic Neural Networks. The exper...

Accurately estimating the cost of software development is crucial for effective project planning and resource allocation. However, traditional estimation methods rely heavily on expert judgment historical data, which can be time consuming prone to errors. This study suggests a learning-based model that leverages relational databases improve accuracy. The proposed approach estimates based effort...

Estimating software effort has been a largely unsolved problem for decades. One of the main reasons that hinders building accurate estimation models is often heterogeneous nature data with complex structure. Typically, from local tend to be more than using entire data. Previous studies have focused on use clustering techniques and decision trees generate coherent can help in prediction models. ...