Software comprehension: Theory and metrics | Posted on:2000-06-20 | Degree:M.Comp.Sc | Type:Thesis | University:Concordia University (Canada) | Candidate:Klemola, Tuomas | Full Text:PDF | GTID:2468390014467068 | Subject:Computer Science | Abstract/Summary: | | The understandability of a program specification has a direct bearing on several important aspects of software quality. These include reliability, modifiability, reusability, and maintainability to name a few.;The process of comprehension has been studied by psychologists. Their findings have implications for software engineering practises. A survey of pertinent studies in memory usage and comprehension processes reveals motivators for good software engineering practices.;Software metrics are used in software engineering to predict human performance, for instance faults per thousand lines of code. A survey of software metrics which are related to human performance is included. Recently proposed metrics are examined.;Rules for developing software that respect human limitations are derived based on psychological research and software engineering practises.;An empirical study of human performance against a newly proposed metric based on comprehension processes is done using the performance of students on final examinations. The metric, identifier density, is found to predict human error. | Keywords/Search Tags: | Software, Comprehension, Human, Metrics, Performance | | Related items |
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