Dynamic specification mining
WebIn this paper, we propose a dynamic specification mining approach based on the Transformer framework to improve accuracy. With this approach, we improve DSM by using the Transformer framework instead of RNNs to capture global dependencies between input and output. Specifically, taking execution traces of software systems as input, a … WebJun 14, 2024 · David Lo is an assistant professor in the School of Information Systems at Singapore Management University. His research interests include specification mining, dynamic program analysis, automated debugging, code search, and pattern mining. Siau-Cheng Khoo is an associate professor in the Department of Computer Science at the …
Dynamic specification mining
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WebSpecification mining, a promising alternative to manually writ- ing specifications, is the process of extracting specifications, either statically from the description of a system, or dynamically ... Web• Software and its engineering → Dynamic analysis; KEYWORDS. Specification Mining, Deep Learning. ACM Reference Format: Tien-Duy B. Le and David Lo. 2024. Deep Specification Mining. InPro-ceedings of 27th ACM SIGSOFT International Symposium on Software Test-ing and Analysis (ISSTA’18). ACM, New York, NY, USA,12pages.https:
WebJul 8, 2024 · In this paper, we propose a dynamic specification mining approach based on the Transformer framework to improve accuracy. With this approach, we improve DSM by using the Transformer framework instead of RNNs to capture global dependencies between input and output. Specifically, taking execution traces of software systems as input, a … WebJul 12, 2024 · Generating test cases for specification mining. In Proceedings of the Nineteenth International Symposium on Software Testing and Analysis, ISSTA 2010, Trento, Italy, July 12-16, 2010. 85–96. Google Scholar Digital Library; David Lo and Siau-Cheng Khoo. 2006. SMArTIC: towards building an accurate, robust and scalable specification …
WebJun 1, 2024 · This paper proposes a dynamic approach of specification mining for Propositional Projection Temporal Logic (PPTL). To this end, a pattern library is built to … WebDynamic Specification Mining Based on Transformer 221 ensure software quality, and guide the use of a software system. Especially, for large-scale software systems, the role …
WebOct 13, 2011 · Dynamic specification mining observes program executions to infer models of normal program behavior. What makes us believe that we have seen sufficiently many executions? The TAUTOKO (“Tautoko” is the Mãori word for “enhance, enrich.”) typestate miner generates test cases that cover previously unobserved behavior, systematically …
http://www.mysmu.edu/faculty/davidlo/papers/issta18.pdf imdb the student teacherslist of most polluted citiesWebJun 2, 2024 · APIs often feature dynamic relations between client and service provider, such as registering for notifications or establishing a connection to a service. Dynamic specification mining techniques attempt to fill gaps in missing or decaying documentation, but current miners are blind to relations established dynamically. Because they cannot … list of most popular citiesWebNov 13, 2015 · Dynamic specification mining extracts candidate specifications from logs of execution traces. Existing algorithms differ in the kinds of traces they take as input and … imdb the straight storyWeb• Software and its engineering → Dynamic analysis; KEYWORDS Specification Mining, Deep Learning ACM Reference Format: Tien-Duy B. Le and David Lo. 2024. Deep … imdb the sure thingWebFeb 12, 2024 · This paper proposes a dynamic approach of specification mining for Propositional Projection Temporal Logic (PPTL). To this end, a pattern library is built to collect some common temporal relation among events. Further, several algorithms of specification mining for PPTL are designed. With our approach, PPTL specifications … imdb the strangers prey at nightWebProcess Mining Based on Specification Slicing for Dynamic Reconfiguration; Article . Free Access. Process Mining Based on Specification Slicing for Dynamic Reconfiguration. Authors: Su-Jin Baek. View Profile, Jinhyang Kim. View Profile, list of most popular browsers