Program slicing spectrum-based software fault localization in networking

In spectrumbased fault localization, a similarity co. The poster setup and exhibition schedule wed, thu, fri. 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. Generally, they debug in every statement which program passed when. Spectrumbased fault localization in embedded software tu delft. Pdf contextualizing spectrumbased fault localization. Program spectra execution profiles indicate, or count which parts of a software system are used in a particular test case many different forms exist. Factorising the multiple fault localization problem. On improving the accuracy of spectrumbased 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 nonfaulty statements.

In this talk, we present a novel, lowcost, bayesian reasoning approach to spectrumbased multiple fault localization, coined barinel. Spectra of program locations spectra of branches paths spectra of data dependencies spectra of method call subsequences. We evaluate the effectiveness of spectrumbased fault localization in a set of benchmark programs. These techniques are spectrumbased fault localization, spectrumenhanced dynamic slicing, and constraintbased debugging. A novel groupingbased strategy for improved fault localization. Zhuotong li, yongli zhao, yajie li, sabidur rahman, ying wang, xiaosong yu, lizhong zhang, guoli feng, and jie zhang, demonstration of alarm knowledge.

The main contributions of this paper are as follows. To locate faults developers must indentify statements involved in failures and select suspicious statements that might contain faults. Exonerationbased fault localization for sql predicates. In this paper, we focus on improving existing fault localization techniques. In this paper, we present vulnerability deep learningbased locator vuldeelocator, a deep learningbased. Pdf a survey on software fault localization researchgate. Demystifying the combination of dynamic slicing and spectrumbased fault localization. Constructing program spectrum based on program slicing. Aritra bandyopadhyay, sudipto ghosh, 610 nov, 2011. Program slicing, a technique based on program static information, was proposed by. An approach for fault localization based on program slicing. 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.

A practical evaluation of spectrumbased fault localization request. In an attempt to locate faults, spectrumbased automatic fault localization sfl techniques trace program execution during testing and analyze program entities. 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. 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. In this paper, we propose a spectrumbased fault localization technique for localizing faulty code blocks instead. Various spectrum based fault localization techniques have been proposed to automate the procedure. Sbfl technique works by analyzing the code execution information spectra of pass and fail test cases, which.

Sbfl technique works by analyzing the code execution information spectra of pass and fail test cases, which are gathered during the software testing phase. 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 sfl and slicing hittingsetcomputation shsc are two techniques based on program. Spectrumbased fault localization without test oracles. Fault localization by analyzing failure propagation with. Hence, we require to have test suites that are both diverse and small. The poster authors are responsible responsible for setting up the poster according to the poster number shown in the schedule, and the map below. Icse, the international conference on software engineering, is the premier software engineering conference, providing a forum for researchers, practitioners and. Spectrum based fault localization without test oracles. Abstractprogram debugging is a timeconsuming task, and researchers have.

Chan, and zheng zheng, a theoretical analysis on cloning the failed test cases to improve spectrum based fault localization, journal of systems and software jss, volume 129, july 2017, pages 3557. Existing dynamic fault localization techniques focus on pinpointing dataaccess patterns that are subject to concurrency faults. Flow decisions are made based upon realtime analysis of network consumption statistics with software defined networking. While delivering higher diagnostic accuracy, they suffer from high computation complexity. Spectrum based fault localization sfl and slicing hittingsetcomputation shsc are two techniques based on program. In this research paper various spectra like node spectra, edge spectra, edgepair spectra and block spectra have been. Proximity based weighting of test cases to improve spectrum based fault localization. We will focus our research on the improvement of existing academic debugging techniques in particular slicing, modelbased software debugging, and spectrumbased. Spectrumbased fault localization sfl techniques seek to pinpoint faulty program elements e.

Hence, we require to have test suites that are both diverse and small to. 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. 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. Wen, software fault localization based on program slicing spectrum, in. Spectrumbased fault localization sbfl in software systems, the faulty components that need to be localized can be of any abstraction level, e. Spectrumbased fault localization also known as coveragebased fault localization is a family of methods that use the execution trace of test cases i. Test case purification for improving fault localization.

Conference program fse 2014 program 22nd acm sigsoft international symposium on the foundations of software engineering fse 2014, november 1621, 2014, hong kong, china. Current research primarily focuses on the statement level, but there are studies. Lifecycle oriented design model for productservice system development yang l. 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. In this paper we present a toolset for automatic fault localization, dubbed zoltar, which adopts a spectrumbased fault localization technique. Spectrum based fault localization techniques have shown promising results in assisting developers to find the possible locations of faults. One promising approach for fault localization is spectrumbased fault localization abbreviated as sbfl.

Selected topics of software technology 3 spectrumbased fault. These techniques employ the number of failed tests as well as the number of passed tests that cover statements to distinguish faulty statements and. However, the e ciency of spectrum based fault localization comes at the cost of a limited diagnostic accuracy. Spectrumbased fault localization sfl and slicinghittingsetcomputation shsc are two techniques based on program. These techniques are spectrum based fault localization, spectrum enhanced dynamic slicing, and constraint based debugging.

Spectrumbased fault localization sfl is amongst the most common statistical. Program slicing spectrumbased software fault localization conference paper in proceedings international conference on software engineering january 2011 with 5 reads how we measure reads. One of the most difficult and complex tasks in the debugging activity is software fault localization. Introduction in software development process, fault localization is a boring and difficult task that required a lot of efforts from programmers. Most of existing automated debugging researches are based on the assumption that. 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. Building disclosure risk aware query optimizers for relational databases. 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. Furthermore, we also applied this technique to an industrial tv software product. Software fault localization based on program slicing spectrum ww. The authors are also responsible to remove the poster. Spectrumbased fault localization uses information from program. A bp neural network has a simple structure, which makes it. Each poster will be exhibited during the entire day.

Reports ut dallas department of computer science ut. Automatically detecting software vulnerabilities is an important problem that has attracted much attention. An approach for fault localization based on program. In this paper, we propose a spectrum based fault localization technique for localizing faulty code blocks instead. For example, tarantula 15, jaccard 1, and ochiai 1 are popular spectrumbased fault localization. Spectrum based fault localization computer program. This project aims to close the gap between academic research and debugging in practice. Spectrumbased fault localization in model transformations acm. Comparing informationtheoretic and coveragebased approaches. Various spectrumbased fault localization techniques have been proposed to automate the procedure. The accuracy of thinslice personality judgments from social networking sites made at zeroa. Following its tradition, seip will gather highlyqualified industrial and research participants who are eager to discuss common interests in software engineering.

By themselves, failures do not provide enough information to locate the rootcause fault. Effective fault localization of automotive simulink models. Program slicing is a commonly used technique for debugging 60,65. A critical evaluation of spectrumbased fault localization. Software fault localization based on program slicing. Spectrumbased fault localization sbfl is a technique to assist on the location of program bugs. A few additional examples of program spectrumbased fault localization methods. Provably optimal and humancompetitive results in sbse for spectrum based fault localisation yoo, s. Spectrum based fault localization sfl techniques automatically localize faults in program entities statements, predicates, sql clauses, etc. In this paper, we adapt three programdebugging approaches that have been designed for more traditional procedural or objectoriented programming languages. One application of sfl techniques is to find faulty sql statements in database applications. Long zhang, lanfei yan, zhenyu zhang, jian zhang, w.

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. 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. Hence, there is a strong need for debugging support. Zhenyu zhangs homepage the world is continuously updated. Spectrum based fault localization free download as pdf file. Automated network layout here we examine our approachs foundation spectrumbased network analysisand describe. In this paper, we present vulnerability deep learning based locator vuldeelocator, a deep learning based. 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. Effective software fault localization using an rbf neural network, ieee. A commonlyused method to fix software fault is computing suspiciousness of program elements according to failed test executions and passed test executions. Localization in wireless sensor network by mobile stations based on random distribution jahangiry a. A roadmap towards resilient internet of things for cyber. Spectrumbased fault localization for diagnosing concurrency.

Spectrumbased network visualization for topology analysis. In spectrum based fault localization, a similarity co. Comparing informationtheoretic and coverage based approaches. Existing dynamic faultlocalization techniques focus on pinpointing dataaccess patterns that are subject to concurrency faults. However, the e ciency of spectrumbased fault localization comes at the cost of a limited diagnostic accuracy. We evaluate the effectiveness of spectrum based fault localization in a set of benchmark programs. A novel grouping based strategy for improved fault localization. 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. Background spectrum based fault localization is a big family of automatic fault localization techniques. This process is referred to as software fault localization, which is one. Spectrumbased fault localization in software product lines. Mitigating the effect of coincidental correctness in spectrum based fault localization ab, pp.

A new spectrumbased fault localization with the technique. 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. Effective fault localization based on information arxiv. However, existing vulnerability detectors still cannot achieve the vulnerability detection capability and locating precision that would warrant their adoption for realworld use. Spectrum based fault localization sbfl is the technique used for fault localization. This thesis focuses on improving the accuracy of spectrumbased fault localization sbfl technique to locate faulty code during the software debugging process. Selected topics of software technology 3 spectrumbased. Spectrumbased fault localization in software product. A new spectrumbased fault localization with the technique of. Fault localization means locating the errors or faults. Software fault localization, program debugging, software testing, execution trace, suspicious code 1. Spectrum based fault localization sfl techniques seek to pinpoint faulty program elements e. 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.

Spectrumbased fault localization sbfl uses the results of test cases and their. Software fault localization via mining execution graphs. Icse 2020 software engineering in practice icse 2020. 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. However, most of the existing fault localization approaches do not consider the fact that. Fault localization is among the most expensive tasks in software development. During software development and maintenance stages, programmers have to frequently debug the software.

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. The correctness of software built using mde techniques greatly relies on the. A survey of software fault localization the university of texas at. 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. Software defined networking is a new paradigm allows networks easily programmable that helps in controlling and managing virtual network devices. Program slicing spectrumbased software fault localization.

In this context, our experiments indicate that a particular coefficient consistently outperforms the coefficients currently used by other tools. Index termssoftware fault localization, program debugging, software testing, execution trace, suspicious code. In many practical situations, adding test cases is not a costfree option because test oracles are developed manually or running test cases is expensive. Spectrum based fault localization sbfl is a technique to assist on the location of program bugs. On the accuracy of spectrumbased fault localization. With the development of information technology such as cloud computing, iot, etc, software becomes the infrastructure. In this paper, we adapt three program debugging approaches that have been designed for more traditional procedural or objectoriented programming languages. Proceedings of the 34th international conference on software engineering icse 2012, ieee press, zurich, switzerland, 2012, pp. This thesis focuses on improving the accuracy of spectrum based fault localization sbfl technique to locate faulty code during the software debugging process. A failure is an unexpected behavior on the part of software and indicates a fault in the program ammann and offutt, 2017. As bp neural networks are known to suffer from issues such as paralysis and local. Background spectrumbased fault localization is a big family of automatic fault localization techniques. For a look at related work in network visualization and spectrumbased approaches, see the sidebars.

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