Rule-based specification mining leveraging learning to rank

Rule-based specification mining leveraging learning to rank

Software systems are often released without formal specifications. To deal with the problem of lack of and outdated specifications, rule-based specification mining approaches have been proposed. These approaches analyze execution traces of a system to infer the rules that characterize the protocols,...

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Bibliographic Details
Main Authors: CAO, Zherui, TIAN, Yuan, LE, Bui Tien Duy, LO, David
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2018
Subjects:
Specification mining; Learning to rank; Automated software development; Software maintenance and evolution
Programming Languages and Compilers
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/3988
https://ink.library.smu.edu.sg/context/sis_research/article/4990/viewcontent/Rule_based_specification_mining_leveraging_learning_to_rank_afv.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/3988
https://ink.library.smu.edu.sg/context/sis_research/article/4990/viewcontent/Rule_based_specification_mining_leveraging_learning_to_rank_afv.pdf

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