Fine-grained and Accurate Source Code Differencing
Document type :
Communication dans un congrès avec actes
DOI :
Title :
Fine-grained and Accurate Source Code Differencing
Author(s) :
Falleri, Jean-Rémy [Auteur]
Morandat, Floréal [Auteur]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Blanc, Xavier [Auteur]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Martinez, Matias [Auteur]
Self-adaptation for distributed services and large software systems [SPIRALS]
Monperrus, Martin [Auteur]
Self-adaptation for distributed services and large software systems [SPIRALS]
Morandat, Floréal [Auteur]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Blanc, Xavier [Auteur]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Martinez, Matias [Auteur]
Self-adaptation for distributed services and large software systems [SPIRALS]
Monperrus, Martin [Auteur]

Self-adaptation for distributed services and large software systems [SPIRALS]
Conference title :
Proceedings of the International Conference on Automated Software Engineering
City :
Västeras
Country :
Suède
Start date of the conference :
2014
Publication date :
2014
HAL domain(s) :
Informatique [cs]/Génie logiciel [cs.SE]
English abstract : [en]
At the heart of software evolution is a sequence of edit actions, called an "edit script", made to a source code file. Since software systems are stored version by version, the edit script has to be computed from these ...
Show more >At the heart of software evolution is a sequence of edit actions, called an "edit script", made to a source code file. Since software systems are stored version by version, the edit script has to be computed from these versions, which is known as a complex task. Existing approaches usually compute edit scripts at the text granularity with only "add line" and "delete line" actions. However, inferring syntactic changes from such an edit script is hard. Since moving code is a frequent action performed when editing code and it should also be taken into account. In this paper, we tackle these issues by introducing an algorithm computing edit scripts at the abstract syntax tree granularity including move actions. Our objective is to compute edit scripts that are short and close to the original developer intent. Our algorithm is implemented in a freely-available and extensible tool that has been intensively validated.Show less >
Show more >At the heart of software evolution is a sequence of edit actions, called an "edit script", made to a source code file. Since software systems are stored version by version, the edit script has to be computed from these versions, which is known as a complex task. Existing approaches usually compute edit scripts at the text granularity with only "add line" and "delete line" actions. However, inferring syntactic changes from such an edit script is hard. Since moving code is a frequent action performed when editing code and it should also be taken into account. In this paper, we tackle these issues by introducing an algorithm computing edit scripts at the abstract syntax tree granularity including move actions. Our objective is to compute edit scripts that are short and close to the original developer intent. Our algorithm is implemented in a freely-available and extensible tool that has been intensively validated.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Comment :
update for oadoi on Nov 02 2018
Collections :
Source :
Files
- https://hal.archives-ouvertes.fr/hal-01054552/document
- Open access
- Access the document
- https://hal.archives-ouvertes.fr/hal-01054552/document
- Open access
- Access the document
- document
- Open access
- Access the document
- main.pdf
- Open access
- Access the document
- main.pdf
- Open access
- Access the document
- document
- Open access
- Access the document
- main.pdf
- Open access
- Access the document