Essential Spectrum-based Fault Localization

Xiaoyuan Xie, Baowen Xu

Informasi Dasar

49 kali
22.21.1571
005.1
Buku - Elektronik (E-Book)
Tel-U Gedung Manterawu Lantai 5 : Rak 2
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Program 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.

Subjek

COMPUTER PROGRAMMING
COMPUTER SOFTWARE DEVELOPMENT,

Katalog

Essential Spectrum-based Fault Localization
978-981-33-6179-9
178p.: pdf file.; 3 MB
English

Sirkulasi

Rp. 0
Rp. 0
Tidak

Pengarang

Xiaoyuan Xie, Baowen Xu
Perorangan
 
 

Penerbit

Springer Nature Singapore
Singapore
2021

Koleksi

Kompetensi

 

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