Software engineering metrics and models
Software engineering metrics and models
Journal of Systems and Software - Software Engineering
Elements of Software Science (Operating and programming systems series)
Elements of Software Science (Operating and programming systems series)
A project oriented course on software engineering
SIGCSE '83 Proceedings of the fourteenth SIGCSE technical symposium on Computer science education
The effects of symbology and spatial arrangement on the comprehension of software specifications
ICSE '81 Proceedings of the 5th international conference on Software engineering
On the relationships among three software metrics
Proceedings of the 1981 ACM workshop/symposium on Measurement and evaluation of software quality
Specification Languages: Understanding Their Role in Simulation Model Development
Specification Languages: Understanding Their Role in Simulation Model Development
Information flow metrics for the evaluation of operating systems' structure.
Information flow metrics for the evaluation of operating systems' structure.
The application of structure and code metrics to large scale systems
The application of structure and code metrics to large scale systems
Information science (abstract and references only): managing the software lifecycle
CSC '91 Proceedings of the 19th annual conference on Computer Science
Predicting Source-Code Complexity at the Design Stage
IEEE Software
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In the last decade, the field of Computer Science has undergone a revolution. It has started the move from a mysterious art form to a detailed science. The vehicle for this progress has been the rising popularity of the field of Software Engineering. This innovative area of computer science has brought about a number of changes in the way we think of, and work with, the development of software. Due to this renovation, a field that started with little or no design techniques and unstructured, unreliable software has progressed to a point where a plethora of techniques exist to improve the quality of a program design as well as that of the resultant software. The popularity of structured design and coding techniques prove that there is widespread belief that the overall product produced using these ideas is somehow better, and statistics seem to indicate that this belief is true. Until recently, however, there existed no technique for quantitatively showing one program better than its functional equivalent. In the past few years, the use of software quality metrics seems to indicate that such a comparison is not only possible, but is also valid.The advent of Software Engineering has demanded that most universities offer a Software Engineering course which entails a “Real-World” group project. Students participating in the class design a system using a program design language (PDL). Other students then write code from the design and finally the design team integrates the modules into a working system. For a complete description of the class see [HENS83] and [TOMJ87].