Software engineering metrics and models
Software engineering metrics and models
Methodology for Validating Software Metrics
IEEE Transactions on Software Engineering
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Linguistic laws and computer programs
Journal of the American Society for Information Science
The computer science and engineering handbook
The computer science and engineering handbook
Fractal structure of random programs
ACM SIGPLAN Notices
An Empirical Approach to Studying Software Evolution
IEEE Transactions on Software Engineering
Dynamics of complex systems
Analysis of software evolution processes using statistical distribution Models
Proceedings of the International Workshop on Principles of Software Evolution
Software Metrics: A Rigorous Approach
Software Metrics: A Rigorous Approach
Elements of Software Science (Operating and programming systems series)
Elements of Software Science (Operating and programming systems series)
Two case studies of open source software development: Apache and Mozilla
ACM Transactions on Software Engineering and Methodology (TOSEM)
Model Driven Architecture: Applying MDA to Enterprise Computing
Model Driven Architecture: Applying MDA to Enterprise Computing
The complexity of formal specifications - assessments by α - metric
ACM SIGPLAN Notices
Quantitative Analysis of Faults and Failures in a Complex Software System
IEEE Transactions on Software Engineering
Fault-Threshold Prediction with Linear Programming Methodologies
Empirical Software Engineering
Fighting Program Bloat with the Fractal Complexity Measure
Proceedings of the European Conference on Genetic Programming
Metrics and Laws of Software Evolution - The Nineties View
METRICS '97 Proceedings of the 4th International Symposium on Software Metrics
MDA Explained: The Model Driven Architecture: Practice and Promise
MDA Explained: The Model Driven Architecture: Practice and Promise
Evolution in Open Source Software: A Case Study
ICSM '00 Proceedings of the International Conference on Software Maintenance (ICSM'00)
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In this paper we use a sequential study approach to empirical software engineering to study a novel idea about assessing the current phase of software evolution, based on the fractal metrics a and the logistic map equation parameter π. It is shown how the current software evolution phase can be determined from the logistic map equation when the complexity of the successive versions of software being evolved is measured by the fractal complexity measure α. Based on α and software functional size measures from the successive phases of a software product it is possible to assess the intellectual energy built into the software, which represents the effort spent while developing the software. A case study is performed to demonstrate the usage of the introduced approach.