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A comparison of alternatives to regression analysis as model building techniques to develop predictive equations for software metrics
The almost exclusive use of regression analysis to derive predictive equations for software development metrics found in papers published before 1990 has recently been complemented by increasing numbers of studies using ...
Factors systematically associated with errors in subjective estimates of software development effort: The stability of expert judgment
Software metric-based estimation of project development effort is most often performed by expert judgment rather than by using an empirically derived model (although such may be used by the expert to assist their decision). ...
Fuzzy logic for software metric models throughout the development life-cycle
One problem faced by managers who are using project management models is the elicitation of numerical inputs. Obtaining these with any degree of confidence early in a project is not always feasible. Related to this difficulty ...
Alternatives to regression models for estimating software projects
The use of ‘standard’ regression analysis to derive predictive equations for software development has recently been complemented by increasing numbers of analyses using less common methods, such as neural networks, fuzzy ...
Software forensics for discriminating between program authors using case-based reasoning, feed-forward neural networks and multiple discriminant analysis
Software forensics is a research field that, by treating pieces of program source code as linguistically and stylistically analyzable entities, attempts to investigate aspects of computer program authorship. This can be ...
Software forensics: extending authorship analysis techniques to computer programs
The number of occurrences and severity of computer-based attacks such as viruses and worms, logic bombs, trojan horses, computer fraud, and plagiarism of code have become of increasing concern. In an attempt to better deal ...
Software metrics data analysis—Exploring the relative performance of some commonly used modeling techniques
Whilst some software measurement research has been unquestionably successful, other research has struggled to enable expected advances in project and process management. Contributing to this lack of advancement has been ...
Applications of fuzzy logic to software metric models for development effort estimation
Software metrics are measurements of the software development process and product that can be used as variables (both dependent and independent) in models for project management. The most common types of these models are ...
FULSOME: Fuzzy logic for software metric practitioners and researchers
There has been increasing interest in recent times for using fuzzy logic techniques to represent software metric models, especially those predicting development effort. The use of fuzzy logic for this application area ...
Software process engineering for measurement-driven software quality programs—realism and idealism
This paper brings together a set of commonsense recommendations relating to the delivery of software quality, with some emphasis on the adoption of realistic perspectives for software process/product stakeholders in the ...