D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 32 Citations 5,669 117 World Ranking 9122 National Ranking 541

Overview

What is he best known for?

The fields of study he is best known for:

  • Programming language
  • Software
  • Operating system

His primary areas of study are Programming language, Code, Program slicing, Software engineering and Software maintenance. His work on Java, Static program analysis and Source code is typically connected to Clone as part of general Programming language study, connecting several disciplines of science. His study in Java is interdisciplinary in nature, drawing from both Duplicate code, Software, Clone and Precision and recall.

Jens Krinke combines topics linked to Data flow diagram with his work on Code. His Program slicing study is concerned with Slicing in general. His biological study spans a wide range of topics, including Event and Aspect mining.

His most cited work include:

  • Comparison and Evaluation of Clone Detection Tools (572 citations)
  • Identifying similar code with program dependence graphs (514 citations)
  • A Study of Consistent and Inconsistent Changes to Code Clones (180 citations)

What are the main themes of his work throughout his whole career to date?

Jens Krinke mostly deals with Program slicing, Programming language, Slicing, Software engineering and Theoretical computer science. His Program slicing research is multidisciplinary, incorporating elements of Program analysis and Parallel computing. In the subject of general Programming language, his work in Clone, Java, Static program analysis and Cloning is often linked to Context, thereby combining diverse domains of study.

Jens Krinke has included themes like Software system, Software maintenance, Software development, Code and Code review in his Software engineering study. His Code research includes elements of Data flow diagram and Software. His Theoretical computer science research is multidisciplinary, relying on both Visualization, Control flow, Dependence analysis and Source code.

He most often published in these fields:

  • Program slicing (28.10%)
  • Programming language (24.79%)
  • Slicing (21.49%)

What were the highlights of his more recent work (between 2015-2021)?

  • Software (18.18%)
  • Code (15.70%)
  • Source code (17.36%)

In recent papers he was focusing on the following fields of study:

Jens Krinke focuses on Software, Code, Source code, Programming language and Code review. The Software study combines topics in areas such as Scalability, License and Artificial intelligence. His Code study incorporates themes from Open-source software development, Server and Open platform.

The study incorporates disciplines such as Executable, Slicing, Tree, Construct and Code generation in addition to Source code. The study of Programming language is intertwined with the study of Traceability in a number of ways. He has included themes like Computer security, Software engineering and Technical debt in his Code review study.

Between 2015 and 2021, his most popular works were:

  • A comparison of code similarity analysers (40 citations)
  • Toxic Code Snippets on Stack Overflow (32 citations)
  • How Double-Fetch Situations turn into Double-Fetch Vulnerabilities: A Study of Double Fetches in the Linux Kernel (25 citations)

In his most recent research, the most cited papers focused on:

  • Programming language
  • Software
  • Operating system

His scientific interests lie mostly in Software, Source code, Software system, Code review and Code. His Software research includes elements of Algorithm and Artificial intelligence. Source code is a subfield of Programming language that Jens Krinke explores.

His Programming language research incorporates themes from Obfuscation and Code generation. His research integrates issues of Data modeling and Software engineering in his study of Software system. His Code review research integrates issues from Java, Open-source software development and Server.

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.

Best Publications

Comparison and Evaluation of Clone Detection Tools

S. Bellon;R. Koschke;G. Antoniol;J. Krinke.
IEEE Transactions on Software Engineering (2007)

940 Citations

Identifying similar code with program dependence graphs

J. Krinke.
working conference on reverse engineering (2001)

873 Citations

A Study of Consistent and Inconsistent Changes to Code Clones

J. Krinke.
working conference on reverse engineering (2007)

263 Citations

Static slicing of threaded programs

Jens Krinke.
workshop on program analysis for software tools and engineering (1998)

227 Citations

Aspect mining using event traces

S. Breu;J. Krinke.
automated software engineering (2004)

211 Citations

Is Cloned Code More Stable than Non-cloned Code?

J. Krinke.
source code analysis and manipulation (2008)

201 Citations

Searching for better configurations: a rigorous approach to clone evaluation

Tiantian Wang;Mark Harman;Yue Jia;Jens Krinke.
foundations of software engineering (2013)

189 Citations

Efficient path conditions in dependence graphs for software safety analysis

Gregor Snelting;Torsten Robschink;Jens Krinke.
ACM Transactions on Software Engineering and Methodology (2006)

167 Citations

Search based software engineering for software product line engineering: a survey and directions for future work

M. Harman;Y. Jia;J. Krinke;W. B. Langdon.
software product lines (2014)

164 Citations

Context-sensitive slicing of concurrent programs

Jens Krinke.
foundations of software engineering (2003)

144 Citations

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