Discovery procedures for sublanguage selectional patterns: initial experiments
Computational Linguistics
Expert systems for configuration at Digital: XCON and beyond
Communications of the ACM
Domain analysis: from art form to engineering discipline
IWSSD '89 Proceedings of the 5th international workshop on Software specification and design
Robust partial-parsing through incremental, multi-algorithm processing
Text-based intelligent systems
Intelligent high-volume text processing using shallow, domain-specific techniques
Text-based intelligent systems
Computational Linguistics
Using a document parser to automate software testing
SAC '94 Proceedings of the 1994 ACM symposium on Applied computing
Domain analysis: an introduction
ACM SIGSOFT Software Engineering Notes
Lexical semantic techniques for corpus analysis
Computational Linguistics - Special issue on using large corpora: II
Frame-Based Software Engineering
IEEE Software
Design Recovery for Distributed Systems
IEEE Transactions on Software Engineering
Information extraction for validation of software documentation
IEA/AIE '00 Proceedings of the 13th international conference on Industrial and engineering applications of artificial intelligence and expert systems: Intelligent problem solving: methodologies and approaches
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Reverse engineering of software documentation can play an important role in automating software testing. Since testers often compare the operation of a software system to the expected behavior as described in a document, information extraction from texts can provide valuable input to automated test systems. This paper describes the SIFT (Specification Information From Text) document parser and its use in generating tests for two different software systems: the OpenVMS operating system and the XCON expert configuration system.