Software estimation accuracy is among the greatest challenges for software developers. Software development effort estimation is one of the most major activities in software project management. A number of models have been proposed to make software effort estimations but still no single model can predict the effort accurately. The need for accurate effort estimation in software industry is stil...

Effort estimation is important for the control, quality and success of any software development product. Most efficient categories of effort estimation is Expert judgment, Algorithmic estimation and Machine Learning. The aim of this paper is to present the comparative analysis between traditional techniques and Machine Learning (ML) techniques. Results show that ML methods give more accurate ef...

One of the greatest challenges for software developers is forecasting the development effort for a software system for the last decades. The capability to provide a good estimation on software development efforts is necessitated by the project managers. Software effort estimation model divided into two main categories: algorithmic and nonalgorithmic. These models too have difficulty in modeling...

Software development effort estimation is important for quality management in the software development industry, yet its automation still remains a challenging issue. Applying machine learning algorithms alone often can not achieve satisfactory results. In this paper, we present an integrated data mining framework that incorporates domain knowledge into a series of data analysis and modeling pr...

UML-based object-oriented metrics are fully capable of software measurement. Many researchers have produced effort estimation models for software systems. The estimation effort in the early stages of software development is one of the most important problems faced by software developers and managers. UML related information can be used as an accurate source for effort estimation. In this paper,...

Medical warehouses are architectural construct of an information system that provides users with current and historical decision support information. But medical warehouse projects suffers from overestimation of resources because of improper estimation approaches which do not suit well on poorly defined architecture of medical warehouses. In this paper, we have first proposed a framework for an...

Design complexity is rapidly becoming a limiting factor in the design of modern high-performance digital systems. The increasing levels of design effort required to improve and implement critical processor and system structures have led to staggering design costs. As we design ever larger and more complex systems, it is becoming increasingly difficult to estimate how much time it takes to desig...

We investigate a phenomenon we call micro-productivity decrease, which is expected to be found in most development or maintenance projects and has a specific profile that depends on the project, the development model and the team. Micro-productivity decrease refers to the observation that the cumulative effort to implement a series of changes is larger than the effort that would be needed if we...

A major concern for organizations who are seeking registration to ISO 9000 [12], or seeking the implementation of any quality related process [22][24], is the ability to estimate the work-effort required for meeting the stated requirements. This is a priori requirement in corporate decision making, regardless of the maturity level of the organization [10], the current state of the quality syste...

Reliable and accurate estimation of software has always been a matter of concern for industry and academia. Numerous estimation models have been proposed by researchers, but no model is suitable for all types of datasets and environments. Since the motive of estimation model is to minimize the gap between actual and estimated effort, the effort estimation process can be viewed as an optimizatio...