Measuring exception handling in software system

The exception handling, which conventionally refers to an automatic replacement of a standard program execution by an exceptional execution when an occurrence of exception is detected by the program, is critically important for program reliability and robustness. Measuring the quality of exception h...

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Main Author: Luo, Yan.
Other Authors: Tan Hee, Beng Kuan
Format: Theses and Dissertations
Language:English
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/13341
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-133412023-07-04T15:14:56Z Measuring exception handling in software system Luo, Yan. Tan Hee, Beng Kuan School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems The exception handling, which conventionally refers to an automatic replacement of a standard program execution by an exceptional execution when an occurrence of exception is detected by the program, is critically important for program reliability and robustness. Measuring the quality of exception handling provision can generate quantitative descriptions of the provision, enable us to select better techniques and tools to control and improve the exception handling features. In this project, a metric suite is proposed to measure some exception handling features, i.e. integrality and recoverability in error-correction for a transaction, error-handling capability for a transaction and for a system. The experimentation of the metric suite is carried out for three industrial applications using empirical analysis. The experimentation is based on the available software deliverables such as code and system documentation. We also perform a validation for the proposed metric suite. Master of Science (Communication and Network Systems) 2008-07-29T08:12:39Z 2008-10-20T07:25:38Z 2008-07-29T08:12:39Z 2008-10-20T07:25:38Z 1999 1999 Thesis http://hdl.handle.net/10356/13341 en 59 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Luo, Yan.
Measuring exception handling in software system
description The exception handling, which conventionally refers to an automatic replacement of a standard program execution by an exceptional execution when an occurrence of exception is detected by the program, is critically important for program reliability and robustness. Measuring the quality of exception handling provision can generate quantitative descriptions of the provision, enable us to select better techniques and tools to control and improve the exception handling features. In this project, a metric suite is proposed to measure some exception handling features, i.e. integrality and recoverability in error-correction for a transaction, error-handling capability for a transaction and for a system. The experimentation of the metric suite is carried out for three industrial applications using empirical analysis. The experimentation is based on the available software deliverables such as code and system documentation. We also perform a validation for the proposed metric suite.
author2 Tan Hee, Beng Kuan
author_facet Tan Hee, Beng Kuan
Luo, Yan.
format Theses and Dissertations
author Luo, Yan.
author_sort Luo, Yan.
title Measuring exception handling in software system
title_short Measuring exception handling in software system
title_full Measuring exception handling in software system
title_fullStr Measuring exception handling in software system
title_full_unstemmed Measuring exception handling in software system
title_sort measuring exception handling in software system
publishDate 2008
url http://hdl.handle.net/10356/13341
_version_ 1772828231308673024