Requirements volatility is an important risk factor for software projects. Software measures can help in quantifying and predicting this risk. In this paper, we present a correlational study with the goal of predicting requirements volatility for a medium size software project. The study is explorative, i.e. we analyse the data collected for our measures to find out the best predictor. To our k...

Web services which are language and platform independent self-contained web-based distributed application components represented by their interfaces can have different Quality of Service (QoS) characteristics such as performance, reliability and scalability. One of the major objectives of a web service provider and implementer is to be able to estimate and improve the QoS parameters of their we...

Software cost estimation accuracy is one of the biggest challenges in the field of software development for developer and customers. In general, many algorithmic models like Constructive Cost Model (COCOMO) are used to estimate cost but they have inability to deal with uncertainties related to software development environment and other factors influencing the software development process. The E...

Accurate effort estimation of software development projects plays a key role in project success. However, it is still a challenge activity to researchers and practitioners because of the nature of software products and dynamics in software industry and development environment. Artificial neural network (ANN) is as an effective method and has been widely used in various areas of software enginee...

The major prevailing challenges for Software Projects are Software Estimations like cost estimation, effort estimation, quality estimation and risk analysis. Though there are several algorithmic cost estimation models in practice, each model has its own pros and cons for estimation. There is still a need to find a model that gives accurate estimates. This paper is an attempt to experiment diffe...

Building useful effort prediction systems for software engineering projects is difficult in the absence of historical data. To overcome this problem we propose the use of Saaty’s Analytic Hierarchy Process (AHP) to elicit subjective expert opinion using pairwise comparisons. We briefly describe the theory of AHP and then outline how it might be harnessed to overcome a lack of historical data. T...

Risk is not always avoidable, but it is controllable. The aim of this study is to identify whether those techniques are effective in reducing software failure. This motivates the authors to continue the effort to enrich the managing software project risks with consider mining and quantitative approach with large data set. In this study, two new techniques are introduced namely stepwise multiple...

Employing estimation models in software engineering help in envisaging some essential traits of future entities like software development effort, software reliability and programmers productivity. Of these models, the one that supports the estimation of software effort has drawn substantial attention currently to carry out researches. Estimation by analogy is one among the interesting technique...

One of the significant objectives of software engineering community is to use effective and useful models for precise calculation of effort in software cost estimation. The existing techniques cannot handle the dataset having categorical variables efficiently including the commonly used analogy method. Also, the project attributes of cost estimation are measured in terms of linguistic values wh...

Constructing an accurate effort prediction model is a challenge in Software Engineering. This paper presents three Bayesian statistical software effort prediction models for database-oriented software systems, which are developed using a specific 4GL tool suite. The models consist of specification-based software size metrics and development team’s productivity metric. The models are constructed...