Dynamic specification mining
WebAug 5, 2024 · Dynamic specification mining technology depends on traces, and the coverage of traces determine the effectiveness of specification. With the development of Python programs, mining specification of Python programs has become a big challenge. However, there are no tools that are enable to generate traces automatically. In order 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 …
Dynamic specification mining
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Webdynamic analysis, specification mining, design patterns 1 INTRODUCTION Software API documentation is often incomplete, and misunder-standings of behavior can be … WebDec 4, 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 …
WebSep 1, 2024 · Dynamic specification mining approaches, which are the context of this paper, work by executing the code and mining execution traces or logs. Execution traces typically consist of sequences of method calls, and other related information. These sequences can be generated by instrumenting the program and running the system with … WebDynamic specification mining techniques attempt to fill gaps in missing or decaying documentation, but current miners are blind to relations established dynamically. Because they cannot recover properties involving these dynamic structures, they may produce incomplete or misleading specifications. We have devised an extension to current …
WebProcess 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, 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 …
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 with Out-of-Scope E˙ect Awareness and Result Classification Ziyad Alsaeed Computer Science Dept. University of Oregon Eugene, OR 97403-1202 [email protected] ABSTRACT Dynamic speci˙cation mining techniques attempt to ˙ll gaps in missing or decaying documentation of software systems … high school sailing coach jobWebFeb 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 … high school salutatorianWebOct 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 … how many companies use ai in recruitingWebJul 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 … high school salt lake cityWebMay 29, 2024 · Specification mining can be divided into static and dynamic approaches. Static mining analyzes the source code of a program to detect invariants, while dynamic mining uses the output of the program to compute specifications. Example applications of static specification mining include the detection of bugs and the mining of correct API … how many companies use alteryxWebTo address this problem, we propose a unified specification min-ing framework for smart contracts. We discuss the static artefacts and dynamic artefacts from smart contracts and its transaction his-tory. From these artefacts, then, three different specification mining techniques: (1) role mining, (2) automata learning, and (3) invariant how many companies use azureWebIn 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 … high school sakura simulator