An integration of fault detection and correction processes in software reliability analysis

Lo, Jung-Hua; Huang, Chin‐Yu

doi:10.1016/j.jss.2005.12.006

Cited by 63 publications

(32 citation statements)

References 14 publications

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“…In order to validate the fitting capability and prediction capability of the above two model, the data set [2] collected by Musa is used. We suppose the above data set is the data set of excluding repeated data set.…”

Section: The Instance and Discussionmentioning

confidence: 99%

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The SRGM Framework of Integrated Fault Detection Process and Correction Process

Wu-Caihua

Zhu-Xiaodong

Liu-Juntao

2008

2008 International Conference on Computer Science and Software Engineering

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In this paper, the hypothesis that the detected faults will be immediately removed is revised. An integration of fault detection process and correction process is considered. According to the statistic of the faults, the two new frameworks, which are the SRGM framework including repeated faults (CRDW) and the SRGM framework excluding repeated faults (CNRDW), are presented. The above two frameworks, not only can predict the number of cumulative detected faults, but also can predict the number of corrected faults. In this paper, as an example, two reliability models are gained from CNRDW with different detection process and different correction process. The fitting capability and prediction capability of the two models are evaluated by an open software failure data set. The experimental results show that the presented models have a fairly accurate fitting capability and prediction capability compared with other software reliability growth models.

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Section: The Instance and Discussionmentioning

confidence: 99%

“…G-O S shape model, [2] presented model, Yamada Rayleigh model, Yamada exponential model. The results are in the table1.…”

Section: The Instance and Discussionmentioning

confidence: 99%

The SRGM Framework of Integrated Fault Detection Process and Correction Process

Wu-Caihua

Zhu-Xiaodong

Liu-Juntao

2008

2008 International Conference on Computer Science and Software Engineering

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“…Singh et al (2007) incorporated the learning of the testing team in Lo and Huang (2006) model. Xie et al (2007) gave a unified scheme for developing SRGM considering debugging time lag.…”

Section: Haung and Lin Fdandd Time Lag Modelmentioning

confidence: 99%

Software quality assurance using software reliability growth modelling: state of the art

Kapur

Gupta

Jha

et al. 2010

IJBIS

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Computer systems have penetrated in every sphere of human life. It has made it necessary for the software developer to lay special emphasis on the quality of the software. Building quality software means having a right balance between the three major quality characteristics -reliability, development time and cost. Wealth of research in reliability modelling and applications is remarkable which confirms its continuing importance as a research topic.Among the various kind of reliability modelling non-homogeneous Poisson process (NHPP) based software reliability modelling has been a topic of most practical and academic interest. In this paper we review state-of-the-art of software reliability growth models (SRGM) based on NHPP and provide future directions.

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“…In addition, the correction time may show a growing trend during the whole testing cycle, as later detected faults can be more difficult to correct. Some extensions were made in Lo and Huang [25] and Xie, et al [44] by incorporating other assumptions of debugging delay. Hu, et al [8] studied a data-driven artificial neural network model for the prediction of FDP and FCP.…”

Section: Introductionmentioning

confidence: 99%

Modeling of software fault detection and correction processes with fault dependency

Peng

Zhai

2017

EiN

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Modeling of software fault detection and correction processes with fault dependencyModelowanie procesów wykrywania i korekcji błędów oprograMowania z założenieM wzajeMnej zależności błędów Keywords: fault dependency, non-homogeneous Poisson process (NHPP), software reliability growth model (SRGM), software fault detection and correction processes. Modelowanie niezawodności oprogramowania w ciągu ostatnich trzech dekad ulegało ciągłej ewolucji, pozwalającej dostosować je do różnych, stale zmieniających się środowisk testowych. W przypadku istniejących modeli, dwoma podstawowymi i powszechnie stosowanymi założeniami jest natychmiastowe usunięcie błędu oraz brak zależności między błędami. Ostatnio, badacze zaproponowali modele, które łagodzą pierwsze z tych założeń, łącząc proces wykrywania błędów (FDP) z procesem ich korekcji (FCP). W niniejszym artykule, rozszerzono tę metodologię, proponując paradygmat modelowania dla zintegrowanych procesów FDP i FCP uwzględniający zależności między błędami. W paradygmacie tym, błędy klasyfikuje się jako błędy nadrzędne i błędy zależne, a procesy FCP dla obu typów błędów są modelowane oddzielnie. Zaproponowano kilka połączonych w pary modeli rozważających różne założenia dotyczące opóźnień debugowania w procesach łączących detekcję i korekcję błędów. Możliwość zastosowania proponowanych modeli przedstawiono na przykładzie rzeczywistych danych testowych. Dodatkowo badano optymalną politykę aktualizacji oprogramowania, jaką można prowadzić w ramach proponowanego paradygmatu. Słowa kluczowe: zależność błędów, niejednorodny proces Poissona, model wzrostu niezawodności oprogramowania, procesy detekcji i korekcji błędów oprogramowania IntroductionSoftware today plays important roles in almost every section of our society, and the software reliability has been a major concern in many integrated systems [3]. With continuous debugging, analysis and correction, the software reliability will grow gradually with testing [33]. During the past three decades, numerous software reliability growth models (SRGMs) have been proposed [2,7,24,26,35,40,41]. Among these models, Non-homogeneous Poisson Process (NHPP) models are the most commonly accepted [20,30,36,39,50]. Although NHPP models are mathematically tractable, they are developed under some strong assumptions on the software testing process. Specifically, NHPP models assume immediate fault removal and fault independency. To adapt to different practical software testing environments, generalizations of traditional models by relaxing the assumptions have been proposed [5,9,17,23,28,29].In practical software testing, each detected fault has to be reported, diagnosed, removed and verified before it can be noted as corrected. Consequently, the time spent for fault correction activity is not negligible. In fact, this debugging lag can be an important element in making decisions [16,49]. Therefore, it is necessary to incorporate the debugging lag into the modeling framework, i.e., to model both the fault detection process (FDP) and fault correcti...

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An integration of fault detection and correction processes in software reliability analysis

Cited by 63 publications

References 14 publications

The SRGM Framework of Integrated Fault Detection Process and Correction Process

The SRGM Framework of Integrated Fault Detection Process and Correction Process

Software quality assurance using software reliability growth modelling: state of the art

Modeling of software fault detection and correction processes with fault dependency

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