Chapter 1: Introduction

Size: px

Start display at page:

Download "Chapter 1: Introduction"

Camron Anderson
5 years ago
Views:

1 Page No Chapter 1: Introduction Software Reliability Engineering Software Reliability The failure curve for Hardware and Software Reliability Software Development Life Cycle (SDLC) Stage 1: Requirement analysis and specification Stage 2: Design phase Stage 3: Implementation and Unit testing Stage 4: Testing Phase Stage 5: Operational Phase The Software Process Models Waterfall Model Iterative Model Incremental Model Spiral Model V-Model Which Model Should We Choose? Software Testing Software Reliability Growth Modelling Non-Homogeneous Poisson Process (NHPP) based SRGM A General Description of Continuous Time Model Some Continuous Time Models Goel-OkumotoModel...24

2 Delayed S-shaped SRGM due to Yamada et al. (1983) Inflection S-shaped SRGM due to Ohba (1984) SRGM for Error Removal Phenomenon:Kapur and Garg (1992) SRGMs under Imperfect Debugging Environment SRGM based on Imperfect Fault Debugging: Kapur and Garg(1990) SRGM based on Error Generation(Ohba and Chou, 1989) SRGM with respect to Testing Coverage Modeling Related to Faults Severity SRGMs using Change Point G-O Model using Change Point, Shyur (2003) Two-Dimensional Software Reliability Growth model Optimization Problems in Software Reliability Software Release Time Decision Problems SRGM Incorporating Enhancement of Features Innovation Diffusion: An Overview Inovation Time Communication Chanel Social System The Adoption Categories for New Products Innovation Diffusion Modeling Bass Model : Bass (1969) Successive Generation of Technologies Model Application Parameter Estimation Model Validation Comparison Criteria Predictive Validity Criterion Structure of Thesis...54

3 Chapter 2: Multi Up-Gradation Software Reliability Model With Fault Severity and Imperfect Debugging Modeling Multi Up-gradation Software Reliability with Imperfect Debugging Assumptions: Notations Software Reliability Models Based on Fault Severity and Imperfect ebugging Modeling Fault Removal Process for Multiple Software Releases Modeling for Release Modeling for Release Modeling for Release Data Set and Model Validation Parameter Estimation and Goodness of Fit Data Analysis Multi Up-Gradation SRGM withvarying Nature of Faults Assumptions: Notations Change of Nature of Fault in Multi Release Software Reliability Models Based on Fault Severity Multi Up-Gradation Model Development Modeling for Release Modeling for Release Modeling for Release 3 and Data Set and Model Validation Parameter Estimation and Goodness of Fit Data Analysis Unified Framework of Multi Up- Gradation Under Imperfect Debugging Assumptions: Notations Unification Modeling Based On Hazard Rate with Imperfect Debugging...84

4 General Framework for Multi Up- gradation Model Modeling for Release Modeling for Release Modeling for i th Release Derivation of New and Existing Models Multi Up-Gradation Model based on K-G-Model. SRGM Multi Up-Gradation Model Based on Normal Distribution. SRGM Data Set, Model Validation Parameter Estimates and Goodness of Fit Criteria DataAnalysis...91 Chapter 3: Multi Release SRGMs for Fault Detection-Correction Processes and the Effect of Reported Bugs Unification Scheme in Multi Up-Gradation Software Reliability incorporating Detection and Correction Process Assumptions: Notations Generalized multi release SRGM with Detection and Correction as Two Stage Process Modeling Multi Up-Gradation Framework Modeling for Release Modeling for Release Modeling for Release 3 and Derivation of New and Existing Models Multi Up-Gradation Model, MUSRGM Multi Up-Gradation Model, MUSRGM Data Set and Model Validation Parameter Estimation and Goodness of Fit and Data Analysis Development of a Multi-Release SRGM Incorporating the Effect of Bugs Reported from Operational Phase Assumptions:...105

5 Notations Testing Phase in Software Development Life Cycle Operational Phase in Software Development Life Cycle Multiple Release Model Development Modeling for Release Modeling for Release Modeling for Release n Data Set and Model Validation Parameter Estimation and Goodness of Fit Data Analysis Chapter 4: Two-Dimensional Problems in Software Reliability Generalized Non-Homogeneous Poisson Process Model with Change-Point in Two- Dimensional Framework Assumptions: Notations Modeling of the Two-Dimensional SRGM Modeling of the Two-Dimensional SRGM with Change-Point Derivation of New and Existing Models GO-Model with Change Point in Two-Dimensional, Yamada-Model with Change Point in Two-Dimensional Kapur-Garg-Model with Change Point in Two-Dimensional Gamma- distribution with Change Point in Two-Dimensional, Weibull- distribution with Change Point in Two-Dimensional Data Sets and Model Validation Parameter Estimation and Goodness of Fit Criteria Modeling Two-Dimensional Software Multi Up-gradation and Related Release Problem Assumptions: Notations used: Modeling of the Two-Dimensional SRGM...132

6 Multi Release SRGM in Two-Dimensional Framework Logistic model for testing phase The Weibull Model for Operational Phase Multiple Release Model Under Two-Dimensional Environment Data set and model validation Parameter Estimation and Goodness of Fit and Data Analysis Optimal Release Planning of Software Multi-attribute utility function approach Multi-Attribute Utility Function Assessing Utility Functions Structure of the Cost Function Numerical Example Sensitivity Analysis of the Model Parameters Chapter 5: Modeling Multi-Generational Innovation Diffusion Process Modeling diffusion of successive generations of technology Literature review Norton-Bass model Mahajan and Muller Model Proposed Model Framework Assumptions of Proposed Model Model Formulation General Framework for n th Generation of Proposed Model Relationship of Proposed Model with Norton-Bass Model Data sets Empirical Analysis Successive Generations of IBM Mainframe Computers Successive Generations of DRAM Comparison of Proposed Model with Norton Bass Model Managerial Implications The Optimal Time of New Generation Product in the Market...175

7 Notations Modeling Customer s Adoption Behavior Modeling of Cost Function Determination of Optimal Introduction Time Quantification of Attributes Elicitation of Single Utility Function for Each Attribute Estimation of Scaling Constants Maximization of Multi-Attribute Utility Function Summary of the Procedure The Data Sets Decision Model Application Example Sensitivity Analysis Managerial Implication Chapter 6: Two-Dimensional Model for Successive Generations of Technology Modeling Innovation Diffusion by incorporating Time & Price for Successive Generations of Technologies Modeling of the Two-Dimensional adoption process Bass model in Two-Dimensional framework Proposed Model development Assumptions of proposed model The Formulation of Proposed Model DATA Empirical analysis Managerial Implication: Conclusions and Future Research Directions References

Discrete time modelling in software reliability engineering a unified approach

Comput Syst Sci & Eng 2009) 6: 71 77 2009 CRL Publishing Ltd International Journal of Computer Systems Science & Engineering Discrete time modelling in software reliability engineering a unified approach