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» Predicting risk of software changes
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ESEM
2009
ACM
14 years 2 months ago
The evolution and impact of code smells: A case study of two open source systems
Code smells are design flaws in object-oriented designs that may lead to maintainability issues in the further evolution of the software system. This study focuses on the evolutio...
Steffen Olbrich, Daniela Cruzes, Victor R. Basili,...
ICSM
1997
IEEE
13 years 11 months ago
Predicting Maintenance Effort with Function Points
Function Point Analysis (FPA) is a well-known method to measure the functionality of a system, from the user’s point of view. Both Albrecht’s original model and a local varian...
Frank Niessink, Hans van Vliet
ICSE
2009
IEEE-ACM
14 years 2 months ago
Predicting defects in SAP Java code: An experience report
Which components of a large software system are the most defect-prone? In a study on a large SAP Java system, we evaluated and compared a number of defect predictors, based on cod...
Tilman Holschuh, Markus Pauser, Kim Herzig, Thomas...
IWPC
2007
IEEE
14 years 1 months ago
Mining Software Repositories for Traceability Links
An approach to recover/discover traceability links between software artifacts via the examination of a software system’s version history is presented. A heuristic-based approach...
Huzefa H. Kagdi, Jonathan I. Maletic, Bonita Shari...
DSN
2007
IEEE
14 years 1 months ago
Multiprocessors May Reduce System Dependability under File-Based Race Condition Attacks
Attacks exploiting race conditions have been considered rare and “low risk”. However, the increasing popularity of multiprocessors has changed this situation: instead of waiti...
Jinpeng Wei, Calton Pu