ABSTRACT—Software Engineering plays a vital role in software development process. Software effort Estimation usually takes place in early stage of software life cycle. Estimation relies upon previous experience. Software development based on accurate estimates because badly chosen estimate causes problems during the performance of software development process. A linear Regression model with exp...

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,...

Ensembles of learning machines are promising for software effort estimation (SEE), but need to be tailored for this task to have their potential exploited. A key issue when creating ensembles is to produce diverse and accurate base models. Depending on how differently different performance measures behave for SEE, they could be used as a natural way of creating SEE ensembles. We propose to view...

Cost estimation is a crucial field for companies developing software or software-intensive systems. Besides point estimates, effective project management also requires information about cost-related project risks, e.g., a probability distribution of project costs. One possibility to provide such information is the application of Monte Carlo simulation. However, it is not clear whether other sim...

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 ...

This paper describes an empirical study of effort estimation in agile software development. Estimated effort and actual effort of a 46-iteration project are collected and analyzed. The results show that estimation in agile development is more accurate than that in traditional development even though agile developers still underestimate the effort. However, estimation accuracy is not improved ov...

Change effort estimation and impact analysis are two important methods to make effective change acceptance decisions for the software development phase. Accepting too many changes causes additional cost and delay in the competition. On the other hand, rejection of the changes may cause customer dissatisfaction. There are very few works have been done to support effective change decisions in dev...

Accurate Effort Estimation is a significant task in software development, which is helpful in the scheduling and tracking of the project. A number of estimation models are available for effort calculation. However, a lot of newer models are still being proposed to obtain more accurate estimation .This paper attempts to propose a hybrid technique which incorporates both quality factors and fuzzy...

Accurate software development effort estimation is critical to the success of software projects. Although many techniques and algorithmic models have been developed and implemented by practitioners, accurate software development effort prediction is still a challenging endeavor in the field of software engineering, especially in handling uncertain and imprecise inputs and collinear characterist...

This paper investigates the use of various techniques including genetic programming, with public data sets, to attempt to model and hence estimate software project effort. The main research question is whether genetic programs can offer 'better' solution search using public domain metrics rather than company specific ones. Unlike most previous research, a realistic approach is taken, whereby pr...