Case study of feature location using dependence graph
By Kunrong Chen, Vaclav Rajlich. Proceedings IWPC 2000. 8th International Workshop on Program Comprehension, 2000
295 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems, Software
View Paper: https://www.semanticscholar.org/paper/b41c7dd2d98b5a8004bf674da230246e5ef01c34
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Stéphane Ducasse
- Damien Pollet
- Denys Poshyvanyk
- Andrian Marcus
- Rainer Koschke
- Vaclav Rajlich
- Andrey Sergeyev
- Bogdan Dit
In Information Systems
- Denys Poshyvanyk
- Rainer Koschke
- Andrian Marcus
- Stéphane Ducasse
- Damien Pollet
- Vaclav Rajlich
- G. Antoniol
- Andrey Sergeyev
In Software
- Denys Poshyvanyk
- Andrian Marcus
- Bogdan Dit
- Rainer Koschke
- Meghan Revelle
- Malcom Gethers
- Thomas Eisenbarth
- Daniel Simon
Citations in the corpus
- Feature Location Using Probabilistic Ranking of Methods Based on Execution Scenarios and Information Retrieval (2007, methodology): “D. Poshyvanyk, A. Marcus, and V. Rajlich are with the Department of Computer Science, Wayne State University, 5143 Cass Ave., Detroit, MI 48202.”
- Concern graphs: finding and describing concerns using structural program dependencies (2002, unknown): “Chen and Rajlich have proposed a technique for finding features (concerns) in source code in which a user systematically traverses a program dependency graph [6].”
- Asking and Answering Questions during a Programming Change Task (2008, unknown): “1) and the dependency graph method [8], which is a systematic approach involving asking a series of lower level questions to produce information toward answering a higher level question.”
- An information retrieval approach to concept location in source code (2004, background): “Chen and Rajlich [ 4 ] propose a semi-automated approach for the location of features based on the search of program dependence graph.”
- Locating Features in Source Code (2003, methodology): “Chen and Rajlich [30] propose a semiautomatic method for feature location, in which the programmer browses the statically derived abstract system dependency graph (ASDG).”
- Feature location in source code: a taxonomy and survey (2013, methodology): “The tool that supports this static FLT based on ASDGs is called Ripples [48].”
- Software Architecture Reconstruction: A Process-Oriented Taxonomy (2009, background): “outlined a humanguided approach [19], [172]: Assisted by a tool, a reverse engineer explores a statically derived dependency graph and iteratively decides whether each considered computational unit is relevant to the feature or not.”