Martin Monperrus focuses on Java, Programming language, Software engineering, Source code and Android. His biological study spans a wide range of topics, including Process, Test suite, Correctness, Software and Debugging. His research in Software focuses on subjects like Maintenance engineering, which are connected to Software development.
In the field of Programming language, his study on Compiler, Parsing, Java source code and Metaprogramming overlaps with subjects such as Formalism. His Software engineering research is multidisciplinary, incorporating elements of Software bug and State. Martin Monperrus combines subjects such as Test, Test case, Data mining, Code and Line with his study of Source code.
Software, Java, Software engineering, Programming language and Code are his primary areas of study. His research in Software intersects with topics in Test, Test case, Data mining and Source code. His research integrates issues of Machine learning and Artificial intelligence in his study of Test.
The concepts of his Java study are interwoven with issues in Field, Database, Algorithm, Correctness and Set. His Software engineering study also includes fields such as
The scientist’s investigation covers issues in Java, Software engineering, Code, Artificial intelligence and Software. His Java study introduces a deeper knowledge of Programming language. His Software engineering research is multidisciplinary, incorporating perspectives in Software repair, Software development, Reuse, Software bug and Software system.
His Code research includes themes of Information retrieval and Leverage. His Artificial intelligence study combines topics from a wide range of disciplines, such as Codebase, Machine learning, Software maintenance and Pattern recognition. His work deals with themes such as Theoretical computer science and Source code, which intersect with Software.
Martin Monperrus mainly focuses on Software engineering, Artificial intelligence, Code, Software and Source code. The study incorporates disciplines such as Java, Pipeline, Test case and Software system in addition to Software engineering. Martin Monperrus has researched Artificial intelligence in several fields, including Software bug, Machine learning and Pattern recognition.
Many of his research projects under Software are closely connected to Context and Space exploration with Context and Space exploration, tying the diverse disciplines of science together. His Source code research includes elements of Divide and conquer algorithms, Supervised learning and Theoretical computer science. In his study, Programming language is inextricably linked to XML, which falls within the broad field of Set.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Fine-grained and accurate source code differencing
Jean-Rémy Falleri;Floréal Morandat;Xavier Blanc;Matias Martinez.
automated software engineering (2014)
Learning from examples to improve code completion systems
Marcel Bruch;Martin Monperrus;Mira Mezini.
foundations of software engineering (2009)
Nopol: Automatic Repair of Conditional Statement Bugs in Java Programs
Jifeng Xuan;Matias Martinez;Favio DeMarco;Maxime Clement.
IEEE Transactions on Software Engineering (2017)
Dexpler: converting Android Dalvik bytecode to Jimple for static analysis with Soot
Alexandre Bartel;Jacques Klein;Yves Le Traon;Martin Monperrus.
state of the art in java program analysis (2012)
Automatic Software Repair: A Bibliography
ACM Computing Surveys (2018)
Automatic repair of real bugs in java: a large-scale experiment on the defects4j dataset
Matias Martinez;Thomas Durieux;Romain Sommerard;Jifeng Xuan.
foundations of software engineering (2017)
SPOON: A library for implementing analyses and transformations of Java source code
Renaud Pawlak;Martin Monperrus;Martin Monperrus;Nicolas Petitprez;Carlos Noguera.
Software - Practice and Experience (2016)
ASTOR: a program repair library for Java (demo)
Matias Martinez;Martin Monperrus.
international symposium on software testing and analysis (2016)
Dexpler: Converting Android Dalvik Bytecode to Jimple for Static Analysis with Soot
Alexandre Bartel;Jacques Klein;Martin Monperrus;Yves Le Traon.
arXiv: Software Engineering (2012)
Mining software repair models for reasoning on the search space of automated program fixing
Matias Martinez;Martin Monperrus.
Empirical Software Engineering (2015)
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