The Literate-Programming Paradigm
Computer
The Detection of Fault-Prone Programs
IEEE Transactions on Software Engineering
Programming pearls: literate programming
Communications of the ACM
Relevance based language models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
A Metrics Suite for Object Oriented Design
IEEE Transactions on Software Engineering
Quantitative Analysis of Faults and Failures in a Complex Software System
IEEE Transactions on Software Engineering
Generating Robust Parsers using Island Grammars
WCRE '01 Proceedings of the Eighth Working Conference on Reverse Engineering (WCRE'01)
An XML-Based Lightweight C++ Fact Extractor
IWPC '03 Proceedings of the 11th IEEE International Workshop on Program Comprehension
An Analysis of Software Correctness Prediction Methods
APAQS '01 Proceedings of the Second Asia-Pacific Conference on Quality Software
Columbus - Reverse Engineering Tool and Schema for C++
ICSM '02 Proceedings of the International Conference on Software Maintenance (ICSM'02)
IWPC '05 Proceedings of the 13th International Workshop on Program Comprehension
IEEE Transactions on Software Engineering
Empirical Validation of Object-Oriented Metrics on Open Source Software for Fault Prediction
IEEE Transactions on Software Engineering
Leveraged Quality Assessment using Information Retrieval Techniques
ICPC '06 Proceedings of the 14th IEEE International Conference on Program Comprehension
Looking for bugs in all the right places
Proceedings of the 2006 international symposium on Software testing and analysis
Syntactic Identifier Conciseness and Consistency
SCAM '06 Proceedings of the Sixth IEEE International Workshop on Source Code Analysis and Manipulation
Introduction to Statistical Methods and Data Analysis (with CD-ROM)
Introduction to Statistical Methods and Data Analysis (with CD-ROM)
Data Mining Static Code Attributes to Learn Defect Predictors
IEEE Transactions on Software Engineering
Software Fault Prediction using Language Processing
TAICPART-MUTATION '07 Proceedings of the Testing: Academic and Industrial Conference Practice and Research Techniques - MUTATION
Using the Conceptual Cohesion of Classes for Fault Prediction in Object-Oriented Systems
IEEE Transactions on Software Engineering
Reducing qualitative human oracle costs associated with automatically generated test data
Proceedings of the First International Workshop on Software Test Output Validation
Similarity mapping of software faults for self-healing applications
Proceedings of the 48th Annual Southeast Regional Conference
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While challenging, the ability to predict faulty modules of a program is valuable to a software project because it can reduce the cost of software development, as well as software maintenance and evolution. Three language-processing based measures are introduced and applied to the problem of fault prediction. The first measure is based on the usage of natural language in a program's identifiers. The second measure concerns the conciseness and consistency of identifiers. The third measure, referred to as the QALP score, makes use of techniques from information retrieval to judge software quality. The QALP score has been shown to correlate with human judgments of software quality. Two case studies consider the language processing measures applicability to fault prediction using two programs (one open source, one proprietary). Linear mixed-effects regression models are used to identify relationships between defects and the measures. Results, while complex, show that language processing measures improve fault prediction, especially when used in combination. Overall, the models explain one-third and two-thirds of the faults in the two case studies. Consistent with other uses of language processing, the value of the three measures increases with the size of the program module considered.