PF-miner: A new paired functions mining method for android kernel in error paths

Huqiu Liu*, Yuping Wang, Lingbo Jiang, Shimin Hu

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

18 Citations (Scopus)

Abstract

Drivers are significant components of the operating systems(OSs), and they run in kernel mode. Generally, drivers have many errors to handle, and the functions called in the normal execution paths and error handling paths are in pairs, which are named as paired functions. However, some developers do not handle the errors completely as they forget about or are unaware of releasing the acquired resources, thus memory leaks and other potential problems can be easily introduced. Therefore, it is highly valuable to automatically extract paired functions for these problems and detect violations for the programmers. This paper proposes an efficient tool named PF-Miner, which can automatically extract paired functions and detect violations between normal execution paths and error handling paths from the source code of C program with the data mining and statistical methods. We have evaluated PF-Miner on different versions of Android kernel 2.6.39 and 3.10.0, and 81 bugs reported by PF-Miner in 2.6.39 have been fixed before the latest version 3.10.0. PF-Miner only needs about 150 seconds to analyze the source code of 3.10.0, and 983 violations have been detected from 546 paired functions that have been extracted. We have reported the top 51 violations as potential bugs to the developers, and 15 bugs have been confirmed.

Original languageEnglish
Article number6899198
Pages (from-to)33-42
Number of pages10
JournalProceedings - IEEE Computer Society's International Computer Software and Applications Conference
DOIs
Publication statusPublished - 15 Sept 2014
Externally publishedYes
Event38th Annual IEEE Computer Software and Applications Conference, COMPSAC 2014 - Vasteras, Sweden
Duration: 21 Jul 201425 Jul 2014

Keywords

  • Paired function mining
  • data mining
  • error path checking
  • violations detection

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