Function Point Analysis (FPA) is a well-known method to measure the functionality of a system, from the user's point of view. Both Albrecht's original model and a local variant we studied assume that effort is primarily related to the size of a change. Analysis of data gathered on a major

The build system of a software project is responsible for transforming source code and other development artifacts into executable programs and deliverables. Similar to source code, build system specifications require maintenance to cope with newly implemented features, changes to imported Ap

Software engineering methods and metrics to estimate development time for the development and maintenance of computer-based training (CBT) differ from methods and metrics used to develop large information systems. The estimation techniques for large information systems employ Lines

Context: Code smells are assumed to indicate bad design that leads to less maintainable code. However, this assumption has not been investigated in controlled studies with professional software developers. Aim: This paper investigates the relationship between code smells and maintenance effort

Measurement of maintenance effort in object oriented software engineering is one of the major challenges. Coupling among classes is one of the major factors determining the maintenance effort. Coupling is measured as strength of interconnection or interdependence between different parts

to test whether changing software modules with high design complexity requires more personnel effort than changing modules with low design complexity. By analyzing variables singly, we identified strong correlations between software design complexity and change effort for error corrections performed

Distribution of effort in software engineering process has been the basis for facilitating more reasonable software project planning. This paper reports empirical results on activity effort distribution patterns of a series of industrial software maintenance projects. The results show

The connection among object oriented metrics and software maintenance effort is complex and non-linear. Therefore, there is wide research area in development and application of sophisticated techniques which can be used to construct models for predicting software maintenance effort. The aim

Software maintenance forms an essential component of software development. Its planning includes estimation of maintenance effort, duration, personnel and costs. Adequate information regarding size, complexity and maintainability is however often unavailable. In the present work, a Neural Network

Software Maintenance and evolution are identifying by their huge cost and slow speed of implementation. Survey showed that around 60 % of the maintenance effort was on the total cost of software. But after delivering the software to the client, the maintenance work begins. This paper suggests some