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| 003 | ES-MaUEC | ||
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_a10.1007/978-981-33-6179-9 _2doi |
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_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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_aQA76.9.D43 _b2021 EB |
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| 100 | 1 |
_aXie, Xiaoyuan _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9678781 |
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| 245 | 1 | 0 |
_aEssential spectrum-based fault localization _cby Xiaoyuan Xie, Baowen Xu |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aSingapore _bSpringer International Publising _c2021 |
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| 300 |
_a1 recurso en línea (XII, 172 páginas) _b17 ilustraciones |
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| 336 |
_2rdacontent _aTexto _btxt |
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_2rdamedia _aelectrónico _bc |
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_2rdacarrier _arecurso electrónico _bcr |
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_atext file _bPDF _2rda |
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| 505 | 0 | _aChapter 1. Introduction -- Chapter 2. A Theoretical Framework for Spectrum-based Fault Localization -- Chapter 3. Theoretical Comparison Among Risk Evaluation Formulas -- Chapter 4. On the Maximality of Spectrum-based Fault Localization -- Chapter 5. A Generalized Theoretical Framework for Hybrid Spectrum-based Fault Localization -- Chapter 6. Practicality of the Theoretical Frameworks -- Chapter 7. Tackling the Oracle Problem in Spectrum-based Fault Localization -- Chapter 8. Spectrum-based Fault Localization for Multiple Faults -- Chapter 9. Conclusion. | |
| 520 | 3 | _aProgram debugging has always been a difficult and time-consuming task in the context of software development, where spectrum-based fault localization (SBFL) is one of the most widely studied families of techniques. While it's not particularly difficult to learn about the process and empirical performance of a particular SBFL technique from the available literature, researchers and practitioners aren't always familiar with the underlying theories. This book provides the first comprehensive guide to fundamental theories in SBFL, while also addressing some emerging challenges in this area. The theoretical framework introduced here reveals the intrinsic relations between various risk evaluation formulas, making it possible to construct a formula performance hierarchy. Further extensions of the framework provide a sufficient and necessary condition for a general maximal formula, as well as performance comparisons for hybrid SBFL methods. With regard to emerging challenges in SBFL, the book mainly covers the frequently encountered oracle problem in SBFL and introduces a metamorphic slice-based solution. In addition, it discusses the challenge of multiple-fault localization and presents cutting-edge approaches to overcoming it. SBFL is a widely studied research area with a massive amount of publications. Thus, it is essential that the software engineering community, especially those involved in program debugging, software maintenance and software quality assurance (including both newcomers and researchers who want to gain deeper insights) understand the most fundamental theories - which could also be very helpful to ensuring the healthy development of the field. | |
| 988 | _aSpringer_Computer_2021 | ||
| 650 | 7 |
_2embne _9670306 _aDepuración (Informática) |
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| 650 | 7 |
_2embne _aSoftware _xDesarrollo _9322509 |
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| 700 | 1 |
_aXu, Baowen _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9678782 |
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| 710 | 2 | _aSpringerLink | |
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_iPrinted edition: _z9789813361782 |
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_iPrinted edition: _z9789813361805 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789813361812 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-33-6179-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_b05/2021 _dz _ea _zSI |
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