Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Comparison of OSS Reliability Assessment Methods by Using Wiener Data Preprocessing Based on Deep Learning Kapitel lesen Erstes Kapitel lesen

2024 | OriginalPaper | Buchkapitel

Modelling Software Reliability Growth Incorporating Testing Coverage Function and Fault Reduction Factor

verfasst von : Neha, Abhishek Tandon, Gurjeet Kaur, P. K. Kapur

Erschienen in: Reliability Engineering for Industrial Processes

Verlag: Springer Nature Switzerland

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Computer software has gradually evolved into a necessary component in many sectors of our everyday lives and a crucial component in many systems that requires quality software. A number of studies have been undertaken in recent years in order to develop an extremely trustworthy software system. To be more precise, there have been several analytical software reliability models put out for the evaluation of software reliability. Here, we examine reliability growth models that take into account testing coverage and fault reduction factor, two of the most important environmental factors, and how incorporating these factors into the models provides a more accurate and comprehensive measure of software reliability during the development phase.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Machine Learning Based Remaining Useful Life Estimation—Concept and Case Study
Nächstes Kapitel Software Defect Prediction Using Abstract Syntax Trees Features and Object—Oriented Metrics
Literatur
1.
Goel AL, Okumoto K (1979) Time-dependent error-detection rate model for software reliability and other performance measures. IEEE Trans Reliab 28(3):206–211CrossRef
2.
Kapur P, Garg R (1992) A software reliability growth model for an error-removal phenomenon. Softw Eng J 7(4):291–294CrossRef
3.
Verma V, Anand S, Aggarwal AG (2019) Software warranty cost optimization under imperfect debugging. Int J Qual Reliab Manage 37(9/10):1233–1257CrossRef
4.
Kapur P et al (2009) General framework for change point problem in software reliability and related release time problem. Int J Reliab Qual Saf Eng 16(06):567–579CrossRef
5.
Kumar V et al (2016) Two-dimensional multi-release software reliability modeling for fault detection and fault correction processes. Int J Reliab Qual Saf Eng 23(03):1640002CrossRef
6.
Pradhan V, Kumar A, Dhar J (2022) Modelling software reliability growth through generalized inflection S-shaped fault reduction factor and optimal release time. Proc Inst Mech Eng Part O: J Risk Reliab 236(1):18–36
7.
Li Q, Pham H (2017) A testing-coverage software reliability model considering fault removal efficiency and error generation. PLoS ONE 12(7):e0181524CrossRef
8.
Pham H, Zhang X (2003) NHPP software reliability and cost models with testing coverage. Eur J Oper Res 145(2):443–454CrossRef
9.
Hsu C-J, Huang C-Y, Chang J-R (2011) Enhancing software reliability modeling and prediction through the introduction of time-variable fault reduction factor. Appl Math Model 35(1):506–521CrossRef
10.
Huang C-Y, Kuo S-Y, Lyu MR (2007) An assessment of testing-effort dependent software reliability growth models. IEEE Trans Reliab 56(2):198–211CrossRef
11.
Neha, GK, Jindal V (2022) Release planning analysis through testing coverage and fault reduction factor based models with change point perspective. In: Optimization models in software reliability. Springer, pp 83–110
12.
Tandon A, Neha, Aggarwal AG (20200 Testing coverage based reliability modeling for multi-release open-source software incorporating fault reduction factor. Life Cycle Reliab Saf Eng 9(4):425–435
13.
Verma V et al (2022) Unified framework to assess software reliability and determine optimal release time in presence of fault reduction factor, error generation and fault removal efficiency. Int J Syst Assur Eng Manage 13(5):2429–2441CrossRef
14.
Pachauri B, Dhar J, Kumar A (2015) Incorporating inflection S-shaped fault reduction factor to enhance software reliability growth. Appl Math Model 39(5–6):1463–1469MathSciNetCrossRef
15.
Neha T, Abhishek, Kaur G (2022) Release planning problem with testing coverage and fault reduction factor under imperfect debugging. Adv Math Sci Appl 31(1)
16.
Yamada S, Tokuno K, Osaki S (1992) Imperfect debugging models with fault introduction rate for software reliability assessment. Int J Syst Sci 23(12):2241–2252CrossRef
17.
Li Q, Pham H (2017) NHPP software reliability model considering the uncertainty of operating environments with imperfect debugging and testing coverage. Appl Math Model 51:68–85MathSciNetCrossRef
18.
Li X et al (2011) Reliability analysis and optimal version-updating for open source software. Inf Softw Technol 53(9):929–936CrossRef
Metadaten
Titel
Modelling Software Reliability Growth Incorporating Testing Coverage Function and Fault Reduction Factor
verfasst von
Neha
Abhishek Tandon
Gurjeet Kaur
P. K. Kapur
Copyright-Jahr
2024
Buch
Reliability Engineering for Industrial Processes

Print ISBN: 978-3-031-55047-8

Electronic ISBN: 978-3-031-55048-5

Copyright-Jahr: 2024

DOI
https://doi.org/10.1007/978-3-031-55048-5_12

Premium Partner

    Bildnachweise