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Fuzz Testing Based on Virtualization Technology 2018

Fuzz Testing Based on Virtualization Technology

引用

International Conference on Computing and Artificial Intelligence (ICCAI)

作者： Zhou, Longbin Li, Zhoujun Beihang Univ 37 Xueyuan Rd Beijing Peoples R China

ISBN: (纸本)9781450364195

As people pay more and more attention to software security, the technology of vulnerability mining has gradually become the research hotspot in the industry. Fuzz testing is the mainstream of the vulnerability mining technology. In order to solve the shortcomings of the traditional document fuzz testing, such as efficiency is not high and the function is missing, so a new method of document fuzz testing will be introduced. In this paper, there will be a new way to streamline the test sample. It depends on the code coverage. So the smallest sample set of maximum code coverage will be gotten by using this method. It relies on virtual machine technology, it is more reliable and more accurate than Binary instrumentation technology. This method can effectively reduce a large number of invalid test.

关键词： Fuzz testing Virtualization Technology code coverage

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Running a Red Light: An Investigation into Why Software Engineers (Occasionally) Ignore coverage Checks 5

Running a Red Light: An Investigation into Why Software Engi...

引用

5th IEEE/ACM International Conference on Automation of Software Test (AST)

作者： Sterk, Alexander Wessel, Mairieli Hooten, Eli Zaidman, Andy Delft Univ Technol Delft Netherlands Radboud Univ Nijmegen Nijmegen Netherlands Sentry io San Francisco CA USA

ISBN: (纸本)9798400705885

Many modern code coverage tools track and report code coverage data generated from running tests during continuous integration. They report code coverage data through a variety of channels, including email, Slack, Mattermost, or through the web interface of social coding platforms such as GitHub. In fact, this ensemble of tools can be configured in such a way that the software engineer gets a failing status check when code coverage drops below a certain threshold. In this study, we broadly investigate the opinions and experience with code coverage tools through a survey among 279 software engineers whose projects use the codecov coverage tool and bot. In particular, we are investigating why software engineers would ignore a failing status check caused by drop in code coverage. We observe that >80% of software engineers - at least sometimes - ignore these failing status checks, and we get insights into the main reasons why software engineers ignore these checks.

关键词： software testing code coverage coverage checks

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Test Suite Generation using Memetic Algorithm on Adaptive Local Search

Test Suite Generation using Memetic Algorithm on Adaptive Lo...

引用

2015 International Conference on Communications and Signal Processing (ICCSP)

作者： Mundade, Ankita A. Pattewar, T. M. North Maharashtra Univ Dept Comp Engn RCPTT Shirpur India North Maharashtra Univ Dept Informat Technol RCPTT Shirpur India

ISBN: (纸本)9781479980819

Testing is the process of evaluating quality and correctness of software. In testing, we always check different functions of application. Test cases are the measure component, which is required in testing the functions and conditions. Test case is nothing but a condition which we want to check. It is very difficult to add test cases manually, so that we generate set of test cases called Test Suite. To generate the test suite with high code coverage we apply Memetic algorithm. code coverage is not only important factor in test suite but also measuring part of test suite. code coverage measure used to describe the degree of source code program which is tested. Test case may have more than one goal so that we can check feasibility of particular goal. We have implement Memetic algorithm to find code coverage. Here we also applied Memetic algorithm on adaptive local search. In the evaluation it is found that code coverage of Memetic algorithm on adaptive local search is maximum than Memetic algorithm.

关键词： code coverage Memtic Algorithm Software testing Test suite

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Same coverage, Less Bloat: Accelerating Binary-only Fuzzing with coverage-preserving coverage-guided Tracing 21

Same Coverage, Less Bloat: Accelerating Binary-only Fuzzing ...

引用

ACM SIGSAC Conference on Computer and Communications Security (ACM CCS)

作者： Nagy, Stefan Anh Nguyen-Tuong Hiser, Jason D. Davidson, Jack W. Hicks, Matthew Virginia Tech Blacksburg VA 24061 USA Univ Virginia Charlottesville VA USA

ISBN: (纸本)9781450384544

coverage-guided fuzzing's aggressive, high-volume testing has helped reveal tens of thousands of software security flaws. While executing billions of test cases mandates fast code coverage tracing, the nature of binary-only targets leads to reduced tracing performance. A recent advancement in binary fuzzing performance is coverage-guided Tracing (CGT), which brings orders-of-magnitude gains in throughput by restricting the expense of coverage tracing to only when new coverage is guaranteed. Unfortunately, CGT suits only a basic block coverage granularity-yet most fuzzers require finer-grain coverage metrics: edge coverage and hit counts. It is this limitation which prohibits nearly all of today's state-of-the-art fuzzers from attaining the performance benefits of CGT. This paper tackles the challenges of adapting CGT to fuzzing's most ubiquitous coverage metrics. We introduce and implement a suite of enhancements that expand CGT's introspection to fuzzing's most common code coverage metrics, while maintaining its orders-of-magnitude speedup over conventional always-on coverage tracing. We evaluate their trade-offs with respect to fuzzing performance and effectiveness across 12 diverse real-world binaries (8 open- and 4 closed-source). On average, our coverage-preserving CGT attains near-identical speed to the present block-coverage-only CGT, UnTracer;and outperforms leading binary- and source-level coverage tracers QEMU, Dyninst, RetroWrite, and AFL-Clang by 2-24x, finding more bugs in less time.

关键词： Fuzzing Binaries code coverage

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Predicting Prime Path coverage Using Regression Analysis 20

Predicting Prime Path Coverage Using Regression Analysis

引用

34th Brazilian Symposium on Software Engineering (SBES)

作者： Silva, Keslley Cota, Erika Univ Fed Rio Grande do Sul PPGC Inst Informat Porto Alegre RS Brazil

ISBN: (纸本)9781450387538

Test coverage criteria help the tester to analyze the quality of the test suite, especially in an evolving system where it can be used to guide the prioritization of regression tests as well as the testing effort of new code. However, coverage analysis of more powerful criteria such as path coverage is still a challenging task due to the lack of supporting tools. In this paper, we evaluate the opportunity of using machine learning algorithms to estimate the prime-path coverage of a test suite at method level. We use a knowledge discovery in database framework and a dataset built from real-world projects to devise a regression model for prime-path prediction. Experimental results demonstrate that a suitable predictive model can be defined with RMSE 0.118 on cross-validation and an average error rate of 26% in a cross-project scenario. We also show how the tester can use the proposed strategy in a practical cross-project scenario.

关键词： Software testing coverage prediction code coverage Regression analysis

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Does Unit-Tested code Crash? A Case Study of Eclipse 25

Does Unit-Tested Code Crash? A Case Study of Eclipse

引用

25th Pan-Hellenic Conference on Informatics with International Participation (PCI)

作者： Chioteli, Efstathia Batas, Ioannis Spinellis, Diomidis Athens Univ Econ & Business Dept Management Sci & Technol Athens Greece

ISBN: (纸本)9781450395557

Context: Software development projects increasingly adopt unit testing as a way to identify and correct program faults early in the construction process. code that is unit tested should therefore have fewer failures associated with it. Objective: Compare the number of field failures arising in unit tested code against those arising in code that has not been unit tested. Method: We retrieved 2 083 979 crash incident reports associated with the Eclipse integrated development environment project, and processed them to obtain a set of 126 026 unique program failure stack traces associated with a specific popular release. We then run the JaCoCo code test coverage analysis on the same release, obtaining results on the line, instruction, and branch-level coverage of 216 392 methods. We also extracted from the source code the classes that are linked to a corresponding test class so as to limit test code coverage results to 1 263 classes with actual tests. Finally, we correlated unit tests with failures at the level of 9 523 failing tested methods. Results: Unit-tested code does not appear to be associated with fewer failures. Conclusion: Unit testing on its own may not be a sufficient method for preventing program failures.

关键词： Unit-testing crash incident reports code coverage stack traces software reliability

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Quality of code Can Be Planned and Automatically Controlled

Quality of Code Can Be Planned and Automatically Controlled

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1st International Conference on Advances in System Testing and Validation Lifecycle

作者： Bugayenko, Yegor TechnoPark Corp Naples FL 34102 USA

ISBN: (纸本)9781424448623

Quality of code is an important and critical health indicator of any software development project. However, due to the complexity and ambiguousness of calculating this indicator it is rarely used in commercial contracts. As programmers are much more motivated with respect to the delivery of functionality than quality of code beneath it, they often produce low-quality code, which leads to post-delivery and maintenance problems. The proposed mechanism eliminates this lack of attention to Quality of code. The results achieved after the implementation of the mechanism are more motivated programmers, higher project sponsor confidence and a predicted Quality of code.

关键词： quality metrics code quality code coverage cyclomatic complexity continuous integration

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Test-suite Reduction Based on K-medoids Clustering Algorithm 9

Test-suite Reduction Based on K-medoids Clustering Algorithm

引用

International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)

作者： Liu, Feng Zhang, Jun Zhu, Er-Zhou Anhui Univ Sch Comp Sci & Technol Hefei Anhui Peoples R China

ISBN: (纸本)9781538622094

Software testing is a key approach to guarantee the software quality. It is the objective unremittingly pursed by virtue of effective testing cases in the shortest time. The test suite optimization method is a NP-complete problem. Although some people apply k-means clustering algorithm to the test suite reduction, the algorithm is unstable and seldom considers the coverage rate of such test cases;as a result, it will waste many unnecessary testing time in redundant cases and always result in high cost. Therefore, this paper introduces k-medoids thought of the clustering algorithm and then proposes a method of parameter generation test suite characterized by cyclomatic complexity and code coverage rate. This method utilizes the greedy algorithm to process the streamlined test suite while guaranteeing the cases coverage rate and the error detection rate finally gain the minimal test suite. As indicated by the stimulation experimental results, our method features higher coverage rate with lower complexity under the streamlined test suite of the same quantity.

关键词： test suite reduction k-medoids code coverage cluster analysis

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Data-Flow Testing of Declarative Programs

Data-Flow Testing of Declarative Programs

引用

13th ACM SIGPLAN International Conference on Functional Programming

作者： Fischer, Sebastian Kuchen, Herbert Univ Kiel Dept Comp Sci D-24098 Kiel Germany

ISBN: (纸本)9781595939197

We propose a novel notion of data-flow coverage for testing declarative programs. Moreover, we extend an automatic test-case generator such that it can achieve data-flow coverage. The coverage information is obtained by instrumenting a program such that it collects coverage information during its execution. Finally, we show the benefits of data-flow based testing for a couple of example applications.

关键词： code coverage Data Flow Curry

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Empirically Evaluating the Quality of Automatically Generated and Manually Written Test Suites 14

Empirically Evaluating the Quality of Automatically Generate...

引用

14th Annual International Conference on Quality Software (QSIC)

作者： Kracht, Jeshua S. Petrovic, Jacob Z. Walcott-Justice, Kristen R. Univ Colorado Dept Comp Sci Colorado Springs CO 80907 USA

ISBN: (纸本)9781479971978

The creation, execution, and maintenance of tests are some of the most expensive tasks in software development. To help reduce the cost, automated test generation tools can be used to assist and guide developers in creating test cases. Yet, the tests that automated tools produce range from simple skeletons to fully executable test suites, hence their complexity and quality vary. This paper compares the complexity and quality of test suites created by sophisticated automated test generation tools to that of developer-written test suites. The empirical study in this paper examines ten real-world programs with existing test suites and applies two state-of-the-art automated test generation tools. The study measures the resulting test suite quality in terms of code coverage and fault-finding capability. On average, manual tests covered 31.5% of the branches while the automated tools covered 31.8% of the branches. In terms of mutation score, the tests generated by automated tools had an average mutation score of 39.8% compared to the average mutation score of 42.1% for manually written tests. Even though automatically created tests often contain more lines of source code than those written by developers, this paper's empirical results reveal that test generation tools can provide value by creating high quality test suites while reducing the cost and effort needed for testing.

关键词： program testing software maintenance software metrics software quality source code (software) automated test generation tools automatically generated test suites average mutation score code coverage cost reduction empirical software quality evaluation fault-finding capability manually written test suites real-world programs software development software test creation software test execution software test maintenance test suite complexity test suite quality Complexity theory Java Manuals Software Standards Testing Writing computer software Software design program testing Software maintenance Software measurement Complexity theory software quality COST REDUCTION Writing Java Java programming language Test generation Automation AUTOMATIC

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