Ranking-based approaches for localizing faults

• Main Author: LUCIA, Lucia
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: automatic debugging; software maintenance; suspicious code; localizing faults; data mining; ranking approaches; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/etd_coll/107; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1106&context=etd_coll
• Institution: Singapore Management University

A fault is the root cause of program failures where a program behaves differently from the intended behavior. Finding or localizing faults is often laborious (especially so for complex programs), yet it is an important task in the software lifecycle. An automated technique that can accurately and qu...