A new spectrumbased fault localization with the technique of. Software fault localization via mining execution graphs. A critical evaluation of spectrumbased fault localization. Spectrumbased fault localization sbfl in software systems, the faulty components that need to be localized can be of any abstraction level, e. For a look at related work in network visualization and spectrumbased approaches, see the sidebars. Spectrum based fault localization computer program.
An approach for fault localization based on program. Spectrumbased fault localization also known as coveragebased fault localization is a family of methods that use the execution trace of test cases i. A survey of software fault localization the university of texas at. In this research paper various spectra like node spectra, edge spectra, edgepair spectra and block spectra have been. Hence, there is a strong need for debugging support. Localization in wireless sensor network by mobile stations based on random distribution jahangiry a. In spectrumbased fault localization, a similarity co.
Selected topics of software technology 3 spectrumbased fault. Furthermore, we also applied this technique to an industrial tv software product. Spectrumbased fault localization sbfl uses the results of test cases and their. Spectrum based fault localization sfl and slicing hittingsetcomputation shsc are two techniques based on program. By themselves, failures do not provide enough information to locate the rootcause fault. Spectrumbased fault localization uses information from program. The correctness of software built using mde techniques greatly relies on the. Aritra bandyopadhyay, sudipto ghosh, 610 nov, 2011. Spectrum based fault localization sbfl in software systems, the faulty components that need to be localized can be of any abstraction level, e. Spectrumbased fault localization sbfl is a technique to assist on the location of program bugs. However, existing vulnerability detectors still cannot achieve the vulnerability detection capability and locating precision that would warrant their adoption for realworld use. Spectrumbased fault localization in embedded software tu delft. A new spectrumbased fault localization with the technique. Most of existing automated debugging researches are based on the assumption that.
Spectrumbased fault localization sfl is amongst the most common statistical. The accuracy of thinslice personality judgments from social networking sites made at zeroa. As bp neural networks are known to suffer from issues such as paralysis and local. One promising way to improve the accuracy of fault localization based on statistical debugging is to increase diversity among test cases in the underlying test suite. Proceedings of the 34th international conference on software engineering icse 2012, ieee press, zurich, switzerland, 2012, pp. In this article we provide an overview of several such methods and discuss some of the key issues and concerns that are relevant to fault localization. Index termssoftware fault localization, program debugging, software testing, execution trace, suspicious code.
Conference program fse 2014 program 22nd acm sigsoft international symposium on the foundations of software engineering fse 2014, november 1621, 2014, hong kong, china. The software engineering in practice seip track is the privileged icse track for researchers and practitioners to discuss insights, innovations and solutions to concrete software engineering problems. Jul 15, 2016 despite being one of the most basic tasks in software development, debugging is still performed in a mostly manual way, leading to high cost and low performance. Various spectrum based fault localization techniques have been proposed to automate the procedure. Generally, they debug in every statement which program passed when. Spectrum based fault localization sfl techniques automatically localize faults in program entities statements, predicates, sql clauses, etc. Flow decisions are made based upon realtime analysis of network consumption statistics with software defined networking. In spectrum based fault localization, a similarity co. In an attempt to locate faults, spectrumbased automatic fault localization sfl techniques trace program execution during testing and analyze program entities.
Mitigating the effect of coincidental correctness in spectrum based fault localization ab, pp. Hence, we require to have test suites that are both diverse and small. Existing dynamic faultlocalization techniques focus on pinpointing dataaccess patterns that are subject to concurrency faults. Fault localization by analyzing failure propagation with. These techniques are spectrumbased fault localization, spectrumenhanced dynamic slicing, and constraintbased debugging. Software fault localization based on program slicing. The main contributions of this paper are as follows. Each poster will be exhibited during the entire day. To locate faults developers must indentify statements involved in failures and select suspicious statements that might contain faults. Spectrumbased fault localization in software product. Background spectrumbased fault localization is a big family of automatic fault localization techniques.
This thesis focuses on improving the accuracy of spectrumbased fault localization sbfl technique to locate faulty code during the software debugging process. Yongli zhao, wei wang, and jie zhang, timesensitive softwaredefined networking tssdn control architecture for flexigrid optical networks with data center application, photonic network communications, vol. In many practical situations, adding test cases is not a costfree option because test oracles are developed manually or running test cases is expensive. Spectrumbased fault localization sfl techniques seek to pinpoint faulty program elements e. Chan, and zheng zheng, a theoretical analysis on cloning the failed test cases to improve spectrumbased fault localization, journal of systems and software jss, volume 129, july 2017, pages 3557. For example, tarantula 15, jaccard 1, and ochiai 1 are popular spectrumbased fault localization. Using spectrum based fault localization for test case grouping asynchronous inputoutput conformance testing automatic software bug triage system bts based on latent semantic indexing and support vector machine. Spectrumbased fault localization for diagnosing concurrency. Proximity based weighting of test cases to improve spectrum based fault localization.
In this paper, we adapt three program debugging approaches that have been designed for more traditional procedural or objectoriented programming languages. In this paper we present a toolset for automatic fault localization, dubbed zoltar, which adopts a spectrumbased fault localization technique. These techniques employ the number of failed tests as well as the number of passed tests that cover statements to distinguish faulty statements and nonfaulty statements. Pdf a survey on software fault localization researchgate. Comparing informationtheoretic and coverage based approaches. Following its tradition, seip will gather highlyqualified industrial and research participants who are eager to discuss common interests in software engineering. However, the e ciency of spectrumbased fault localization comes at the cost of a limited diagnostic accuracy. An approach for fault localization based on program slicing. Spectra of program locations spectra of branches paths spectra of data dependencies spectra of method call subsequences. Exonerationbased fault localization for sql predicates. Faultlocalization using dynamic slicing and change impact analysis ea, mg, vj, md, pp. A novel grouping based strategy for improved fault localization. This thesis focuses on improving the accuracy of spectrum based fault localization sbfl technique to locate faulty code during the software debugging process.
Reports ut dallas department of computer science ut. In this paper, we propose a spectrumbased fault localization technique for localizing faulty code blocks instead. Program slicing, a technique based on program static information, was proposed by. Zhuotong li, yongli zhao, yajie li, sabidur rahman, ying wang, xiaosong yu, lizhong zhang, guoli feng, and jie zhang, demonstration of alarm knowledge. Mar 21, 2018 one promising way to improve the accuracy of fault localization based on statistical debugging is to increase diversity among test cases in the underlying test suite. To address this problem, researchers have studied promising approaches, such as spectrum based fault localization sfl techniques, which pinpoint program elements more likely to contain faults. Lifecycle oriented design model for productservice system development yang l. In this paper, we present vulnerability deep learning based locator vuldeelocator, a deep learning based. Sbfl technique works by analyzing the code execution information spectra of pass and fail test cases, which. Spectrum based fault localization free download as pdf file. To address this problem, researchers have studied promising approaches, such as spectrumbased fault localization sfl techniques, which pinpoint program elements more likely to contain faults. A privacypreserving fuzzy localization scheme with csi fingerprint a reliable asynchronous protocol for vlc communications based on the rolling shutter effect a shortterm vehicular density prediction scheme for enhanced beaconing control.
Spectrum based fault localization sfl techniques seek to pinpoint faulty program elements e. Spectrum based fault localization techniques have shown promising results in assisting developers to find the possible locations of faults. In this context, our experiments indicate that a particular coefficient consistently outperforms the coefficients currently used by other tools. Provably optimal and humancompetitive results in sbse for spectrum based fault localisation yoo, s. Software defined networking is a new paradigm allows networks easily programmable that helps in controlling and managing virtual network devices. We evaluate the effectiveness of spectrumbased fault localization in a set of benchmark programs. A roadmap towards resilient internet of things for cyber. Effective fault localization of automotive simulink models. The poster setup and exhibition schedule wed, thu, fri. Zhuotong li, yongli zhao, yajie li, sabidur rahman, xiaosong yu, and jie zhang, demonstration of fault localization in optical networks based on knowledge graph and graph neural network, ofc2020, san diego, california, usa, march 2020. They collect dynamic program spectrum data, contrast their differences between the. On the one hand, it is critical to ensure the reliability of software, on the other, sample code can be mined from open source software to provide reference for automatic debugging. In this paper, we propose a spectrum based fault localization technique for localizing faulty code blocks instead.
However, most of the existing fault localization approaches do not consider the fact that. Spectrum based fault localization without test oracles. Abstractprogram debugging is a timeconsuming task, and researchers have. A novel groupingbased strategy for improved fault localization. Spectrumbased fault localization without test oracles.
Spectrum based fault localization sbfl is the technique used for fault localization. These techniques are spectrum based fault localization, spectrum enhanced dynamic slicing, and constraint based debugging. Despite being one of the most basic tasks in software development, debugging is still performed in a mostly manual way, leading to high cost and low performance. In this paper, we present vulnerability deep learningbased locator vuldeelocator, a deep learningbased. Effective fault localization based on information arxiv. Comparing informationtheoretic and coveragebased approaches. However, the e ciency of spectrum based fault localization comes at the cost of a limited diagnostic accuracy. Constructing program spectrum based on program slicing.
Program slicing is a commonly used technique for debugging 60,65. Pdf contextualizing spectrumbased fault localization. Software fault localization based on program slicing spectrum ww. Generally speaking, this approach utilizes various program spectra acquired dynamically from software testing, and the associated test result, in terms of failed or passed, for individual test cases. Spectrumbased network visualization for topology analysis. Effective software fault localization using an rbf neural network, ieee. Sbfl technique works by analyzing the code execution information spectra of pass and fail test cases, which are gathered during the software testing phase. This project aims to close the gap between academic research and debugging in practice. Demystifying the combination of dynamic slicing and spectrumbased fault localization. Long zhang, lanfei yan, zhenyu zhang, jian zhang, w. Spectrum based fault localization sbfl is a technique to assist on the location of program bugs. A few additional examples of program spectrumbased fault localization methods. Icse 2020 software engineering in practice icse 2020. The keynote presentations and videos are available on keynote page icse2018 in ieee software margaret hamilton in ieee software some more photos from icse 2018 icse 2018 on flickr goodbye and see you at icse 2019 in montreal.
Fault localization is among the most expensive tasks in software development. The authors are also responsible to remove the poster. In this paper, we adapt three programdebugging approaches that have been designed for more traditional procedural or objectoriented programming languages. Spectrumbased fault localization in model transformations acm. Wen, software fault localization based on program slicing spectrum, in. Spectrumbased fault localization in software product lines. One of the most difficult and complex tasks in the debugging activity is software fault localization. These techniques employ the number of failed tests as well as the number of passed tests that cover statements to distinguish faulty statements and. Program spectra execution profiles indicate, or count which parts of a software system are used in a particular test case many different forms exist. Automated network layout here we examine our approachs foundation spectrumbased network analysisand describe. This process is referred to as software fault localization, which is one.
With the development of information technology such as cloud computing, iot, etc, software becomes the infrastructure. A failure is an unexpected behavior on the part of software and indicates a fault in the program ammann and offutt, 2017. We will focus our research on the improvement of existing academic debugging techniques in particular slicing, modelbased software debugging, and spectrumbased. One promising approach for fault localization is spectrumbased fault localization abbreviated as sbfl.
Introduction in software development process, fault localization is a boring and difficult task that required a lot of efforts from programmers. Sbfl uses the results of test cases and their corresponding code coverage information to estimate the risk of each program component e. On improving the accuracy of spectrumbased fault localization. Existing dynamic fault localization techniques focus on pinpointing dataaccess patterns that are subject to concurrency faults. A commonlyused method to fix software fault is computing suspiciousness of program elements according to failed test executions and passed test executions.
On the accuracy of spectrumbased fault localization. Software fault localization based on program slicing spectrum. Icse, the international conference on software engineering, is the premier software engineering conference, providing a forum for researchers, practitioners and. As an indication, in one of the experiments described in the present paper, on average 20% of a program still needs to be inspected after the diagnosis. Various spectrumbased fault localization techniques have been proposed to automate the procedure. Automatically detecting software vulnerabilities is an important problem that has attracted much attention. Program slicing spectrumbased software fault localization. Hence, we require to have test suites that are both diverse and small to. Building disclosure risk aware query optimizers for relational databases. Zhenyu zhangs homepage the world is continuously updated.
While delivering higher diagnostic accuracy, they suffer from high computation complexity. We will focus our research on the improvement of existing academic debugging techniques in particular slicing, model based software debugging, and spectrum based fault localization in order to prepare them for use in practice. One application of sfl techniques is to find faulty sql statements in database applications. The poster authors are responsible responsible for setting up the poster according to the poster number shown in the schedule, and the map below. Spectrumbased fault localization sfl and slicinghittingsetcomputation shsc are two techniques based on program. Program slicing spectrumbased software fault localization conference paper in proceedings international conference on software engineering january 2011 with 5 reads how we measure reads. Software fault localization, program debugging, software testing, execution trace, suspicious code 1. Background spectrum based fault localization is a big family of automatic fault localization techniques. Test case purification for improving fault localization. Using spectrumbased fault localization for test case grouping asynchronous inputoutput conformance testing automatic software bug triage system bts based on latent semantic indexing and support vector machine.
We evaluate the effectiveness of spectrum based fault localization in a set of benchmark programs. Fault localization means locating the errors or faults. Factorising the multiple fault localization problem. A bp neural network has a simple structure, which makes it. In this paper, we focus on improving existing fault localization techniques.
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