Conference Paper

Golden implementation driven software debugging.

DOI: 10.1145/1882291.1882319 In proceeding of: Proceedings of the 18th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2010, Santa Fe, NM, USA, November 7-11, 2010
Source: DBLP

ABSTRACT The presence of a functionally correct golden implementation has a significant advantage in the software development life cycle. Such a golden implementation is exploited for software development in several domains, including embedded software --- a low resource-consuming version of the golden implementation. The golden implementation gives the functionality that the program is supposed to implement, and is used as a guide during the software development process. In this paper, we investigate the possibility of using the golden implementation as a reference model in software debugging. We perform a substantial case study involving the Busybox embedded Linux utilities while treating the GNU Core Utilities as the golden or reference implementation. Our debugging method consists of dynamic slicing with respect to the observable error in both the implementations (the golden implementation as well as the buggy software). During dynamic slicing we also perform a step-by-step weakest precondition computation of the observable error with respect to the statements in the dynamic slice. The formulae computed as weakest pre-condition in the two implementations are then compared to accurately locate the root cause of a given observable error. Experimental results obtained from Busybox suggest that our method performs well in practice and is able to pinpoint all the bugs recently published in [8] that could be reproduced on Busybox version 1.4.2. The bug report produced by our approach is concise and pinpoints the program locations inside the Busybox source that contribute to the difference in behavior.

0 Bookmarks
 · 
71 Views
  • [Show abstract] [Hide abstract]
    ABSTRACT: Multiple tools can assist developers when debugging programs, but only a few solutions specifically target the common case of regression failures, to provide a more focused and effective support to debugging. In this paper we present RADAR, a tool that combines change identification and dynamic analysis to automatically explain regression problems with a list of suspicious differences in the behavior of the base and upgraded version of a program. The output produced by the tool is particularly beneficial to understand why an application failed. A demo video is available at http://www.youtube.com/watch?v=DMGUgALG-yE.
    Software Engineering (ICSE), 2013 35th International Conference on; 01/2013
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: We propose a novel fine-grained causal inference technique. Given two executions and some observed differences between them, the technique reasons about the causes of such differences. The technique does so by state replacement, i.e. replacing part of the program state at an earlier point to observe whether the target differences can be induced. It makes a number of key advances: it features a novel execution model that avoids undesirable entangling of the replaced state and the original state; it properly handles differences of omission by symmetrically analyzing both executions; it also leverages a recently developed slicing technique to limit the scope of causality testing while ensuring that no relevant state causes can be missed. The application of the technique on automated debugging shows that it substantially improves the precision and efficiency of causal inference compared to state of the art techniques.
    ICSE; 01/2013
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Debugging is an unavoidable and most crucial aspect of software development life cycle. Especially when it comes the turn of embedded one. Due to the requirements of low code size and less resource consumption, the embedded softwares need to be upgraded all the time involving obvious change of code during development phase. This leads the huge risk of intrusion of bugs into the code at production time. In this paper we propose an approach of debugging embedded program in pseudo format, incorporating invariant analysis. Our methodology works on top of Daikon, a popular invariant analyzer. We have experimented with a simplified code snippet [1], used during debugging a reported error in BusyBox which is a de-facto standard for Linux in embedded systems.
    08/2012;

Full-text (2 Sources)

View
125 Downloads
Available from
May 21, 2014