Software Reliability Modeling Considering Fault Correction Process

Jia, Lixin; Yang, Bo; Guo, Song; Park, Dong Ho

doi:10.1587/transinf.e93.d.185

Cited by 14 publications

(4 citation statements)

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“…In this paper they proposed a reward function for observing and debugging an error and derived, using Bayesian approach, an optimum stopping rule of software testing using a function called 'maximum expected return' based on 'reward' and cost incurred for each run of a test case. JIA et al(2010JIA et al( )et.al (2010 used markov chain to estimate software reliability if the software is tested additional T units of time. Wang et al(2016) Lujia Wang (2015 developed a model to analyze the time dependencies between the fault detection and correction processes.…”

Section: Introductionmentioning

confidence: 99%

Institute of Child Health, Kolkata, 1956–2022

2022

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Institute of Child Health, Kolkata is an iconic pediatric institution of India, which had its inception as one of the first pediatric hospital of the country. Pediatrics, as a separate branch of medicine, different from the principles and practices of adult medicine, was conceptualized and materialized in India by the founder of this institution, who is referred to as one of the Father of Indian Pediatrics, Dr. Kshirode Chandra Chaudhuri. This article portrays the journey of ICH, the popular acronym of the famed Institute, through the last seven decades from 1956 till the present, trying to capture the initial years of its establishment in the late 1950s, followed by its gradual evolution to an institution of central importance in pediatric healthcare, medical education, research and development, and service to the society, particularly in Eastern India.

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Section: Introductionmentioning

confidence: 99%

Institute of Child Health, Kolkata, 1956–2022

2022

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“…Besides, some other attempts have been made to model dual processes simultaneously. One is the so-called parametric model based on the Markov chain rather than on NHPP [32]. Liu et al extended the Markov model by focusing on the weighted least square estimation method, which emphasizes the influence of later data on the prediction [33].…”

Section: Introductionmentioning

confidence: 99%

Software Reliability Modeling Incorporating Fault Detection and Fault Correction Processes with Testing Coverage and Fault Amount Dependency

Pham

2021

Mathematics

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This paper presents a general testing coverage software reliability modeling framework that covers imperfect debugging and considers not only fault detection processes (FDP) but also fault correction processes (FCP). Numerous software reliability growth models have evaluated the reliability of software over the last few decades, but most of them attached importance to modeling the fault detection process rather than modeling the fault correction process. Previous studies analyzed the time dependency between the fault detection and correction processes and modeled the fault correction process as a delayed detection process with a random or deterministic time delay. We study the quantitative dependency between dual processes from the viewpoint of fault amount dependency instead of time dependency, then propose a generalized modeling framework along with imperfect debugging and testing coverage. New models are derived by adopting different testing coverage functions. We compared the performance of these proposed models with existing models under the context of two kinds of failure data, one of which only includes observations of faults detected, and the other includes not only fault detection but also fault correction data. Different parameter estimation methods and performance comparison criteria are presented according to the characteristics of different kinds of datasets. No matter what kind of data, the comparison results reveal that the proposed models generally give improved descriptive and predictive performance than existing models.

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“…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 correction process (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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Software Reliability Modeling Considering Fault Correction Process

Cited by 14 publications

References 9 publications

Institute of Child Health, Kolkata, 1956–2022

Institute of Child Health, Kolkata, 1956–2022

Software Reliability Modeling Incorporating Fault Detection and Fault Correction Processes with Testing Coverage and Fault Amount Dependency

Modeling of software fault detection and correction processes with fault dependency

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