Applying program analysis augmented with empirical properties into software analysis, testing and maintenance

Applying program analysis augmented with empirical properties into software analysis, testing and maintenance

Program analysis techniques are often used to deduce and infer targeted characteristics of software systems for various software engineering tasks such as testing, debugging, maintenance and program comprehension. Recently, researchers and practitioners have recognized the importance of empirical kn...

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Main Author: Ngo, Minh Ngoc
Other Authors: Tan Hee Beng Kuan
Format: Theses and Dissertations
Language:English
Published: 2010
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:https://hdl.handle.net/10356/41497
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-414972023-07-04T17:35:51Z Applying program analysis augmented with empirical properties into software analysis, testing and maintenance Ngo, Minh Ngoc Tan Hee Beng Kuan School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Program analysis techniques are often used to deduce and infer targeted characteristics of software systems for various software engineering tasks such as testing, debugging, maintenance and program comprehension. Recently, researchers and practitioners have recognized the importance of empirical knowledge in the evolution of software engineering discipline. The use of empirical knowledge, which is validated statistically, might be able to draw inferences about the properties of software systems in cases in which more traditional analyses have not succeeded. DOCTOR OF PHILOSOPHY (EEE) 2010-07-12T04:57:25Z 2010-07-12T04:57:25Z 2009 2009 Thesis Ngo, M. N. (2009). Applying program analysis augmented with empirical properties into software analysis, testing and maintenance. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/41497 10.32657/10356/41497 en 219 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
Ngo, Minh Ngoc
Applying program analysis augmented with empirical properties into software analysis, testing and maintenance
description Program analysis techniques are often used to deduce and infer targeted characteristics of software systems for various software engineering tasks such as testing, debugging, maintenance and program comprehension. Recently, researchers and practitioners have recognized the importance of empirical knowledge in the evolution of software engineering discipline. The use of empirical knowledge, which is validated statistically, might be able to draw inferences about the properties of software systems in cases in which more traditional analyses have not succeeded.
author2 Tan Hee Beng Kuan
author_facet Tan Hee Beng Kuan
Ngo, Minh Ngoc
format Theses and Dissertations
author Ngo, Minh Ngoc
author_sort Ngo, Minh Ngoc
title Applying program analysis augmented with empirical properties into software analysis, testing and maintenance
title_short Applying program analysis augmented with empirical properties into software analysis, testing and maintenance
title_full Applying program analysis augmented with empirical properties into software analysis, testing and maintenance
title_fullStr Applying program analysis augmented with empirical properties into software analysis, testing and maintenance
title_full_unstemmed Applying program analysis augmented with empirical properties into software analysis, testing and maintenance
title_sort applying program analysis augmented with empirical properties into software analysis, testing and maintenance
publishDate 2010
url https://hdl.handle.net/10356/41497
_version_ 1772825658897989632

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