CSE 322: Software Reliability Engineering Topics covered: Software reliability models with explicit fault removal.

Slides:



Advertisements
Similar presentations
CSE 322: Software Reliability Engineering Topics covered: Techniques for prediction.
Advertisements

CSE 322: Software Reliability Engineering Topics covered: Architecture-based reliability analysis.
CSE 300: Software Reliability Engineering Topics covered: Project overview.
Monroe L. Weber-Shirk S chool of Civil and Environmental Engineering pH measurements The probe, from chemistry to voltage to a number + + V.
Linear vs. exponential growth Linear vs. exponential growth: t = 0 A = 1x(1+1) 0 = 1 A = 1x0 + 1 = 1.
CSE 221: Probabilistic Analysis of Computer Systems Topics covered: Independent events Bayes rule Bernoulli trials (Sec )
CSE 300: Software Reliability Engineering Topics covered: Software Reliability Models.
CSE 322: Software Reliability Engineering Topics covered: Software Reliability Models.
CSE 322: Software Reliability Engineering Topics covered: Software Reliability Models.
CSE 322: Software Reliability Engineering Topics covered: Dependability concepts Dependability models.
CSE 221: Probabilistic Analysis of Computer Systems Topics covered: Pure death process Availability analysis (Sec , 8.4.1)
CSE 300: Software Reliability Engineering Topics covered: Software architecture styles.
CSE 322: Software Reliability Engineering Topics covered: Software Reliability Models.
CSE 300: Software Reliability Engineering Topics covered: Software metrics and software reliability.
CSE 221: Probabilistic Analysis of Computer Systems Topics covered: Exponential distribution Reliability and failure rate (Sec )
CSE 322: Software Reliability Engineering Topics covered: Architecture-based reliability analysis.
CSE 322: Software Reliability Engineering Topics covered: Course outline and schedule Introduction, Motivation and Basic Concepts.
CSE 300: Software Reliability Engineering Topics covered: Software metrics and software reliability Software complexity and software quality.
CSE 221: Probabilistic Analysis of Computer Systems Topics covered: Combinatorial problems Conditional probability Independent events (Sec , )
CSE 221: Probabilistic Analysis of Computer Systems Topics covered: Analysis of software reliability and performance.
CSE 300: Software Reliability Engineering Topics covered: Software Reliability Models.
Monroe L. Weber-Shirk S chool of Civil and Environmental Engineering pH measurements The probe, from chemistry to voltage to a number + + V.
1 Fundamentals of Reliability Engineering and Applications Dr. E. A. Elsayed Department of Industrial and Systems Engineering Rutgers University
CSE 221: Probabilistic Analysis of Computer Systems Topics covered: Analysis of software reliability and performance.
EE496A Senior Design Project I Dr. Jane Dong Electrical and Computer Engineering.
Solving quadratic equations Factorisation Type 1: No constant term Solve x 2 – 6x = 0 x (x – 6) = 0 x = 0 or x – 6 = 0 Solutions: x = 0 or x = 6 Graph.
Table of Contents First, isolate the absolute value expression. Linear Absolute Value Equation: Solving Algebraically Example 1: Solve Next, examine the.
Chapter 24 - Quality Management Lecture 1 1Chapter 24 Quality management.
Unit 1 Equations, Inequalities, and Functions. Unit 1: Equations, Inequalities, and Functions Overview: In this unit you will model real-world solutions.
CS 4310: Software Engineering
Chapter 22. Software Reliability Engineering (SRE)
Software Reliability Model Deterministic Models Probabilistic Models Halstead’s software metric McCabe’s cyclomatic complexity metrix Error seeding Failure.
ECE 355: Software Engineering
Validation Metrics. Metrics are Needed to Answer the Following Questions How much time is required to find bugs, fix them, and verify that they are fixed?
Software Reliability SEG3202 N. El Kadri.
Section 4-1: Introduction to Linear Systems. To understand and solve linear systems.
Slide 1 Student Presentation Software Engineering Seminar Your Name Supervisors Name SS 2015 Insert your topic name here.
Algebra 2 Section 2.8. Graph the piecewise function. Find the domain and range.
Notes Over 2.3 The Graph of a Function Finding the Domain and Range of a Function. 1.Use the graph of the function f to find the domain of f. 2.Find the.
Slide 1 SPIN 23 February 2006 Norman Fenton Agena Ltd and Queen Mary University of London Improved Software Defect Prediction.
CSE 2813 Discrete Structures Solving Recurrence Relations Section 6.2.
©Stephen Thebaut 2008 Quiz 1 Notes Slide 1 Quiz 1 Notes Advanced Software Engineering Summer ’08.
Differential Equations Linear Equations with Variable Coefficients.
Linear Motion with Constant Acceleration. Effects of acceleration Object ’ s speed changes every second, therefore the distance covered each second is.
How do graph piecewise functions? 2.5 Use Piecewise Functions Example 1 Evaluate a piecewise function Evaluate the function when x = 3. Solution Because.
Lesson 4.7 Topic/ Objective: To evaluate and graph piecewise and step functions. EQ: How can you describe a function represented by more than one equation.
©Ian Sommerville 2000Software Engineering, 6th edition. Chapter 19Slide 1 Verification and Validation l Assuring that a software system meets a user's.
BSA 385 Week 1 DQ 2 Why is cost-effective software engineering so important in today’s design and development of Information System solutions? Check this.
MARP 6 A. Apollonio, U. Gentile
Welcome to EduWeb Software Solutions Welcome to EduWeb Software Solutions.
How to fix Printer Errors- Reliable Printer Repair Services at an affordable rate-
BACK SOLUTION:
Failure and Design Jaime Baber October 12, 2000
Which type of claim does this represent?
Which type of claim does this represent?
CHAPTER OBJECTIVES The primary objective of this chapter is to show how to compute the matrix inverse and to illustrate how it can be.
Warm Up 1. 4 – 2x = 14 Solve each equation x is being: Inverse a. a.
Topics discussed in this section:
Topics discussed in this section:
Topic/ Objective: To evaluate and graph piecewise and step functions.
Reliability Engineering

Linear and Nonlinear Functions
82 – Engineering Mathematics

1.7 - Exploring Linear Systems
Warm Up Solve each equation 1. 2x + 4 = – 2x = 14.
Use Piecewise Functions
Use Graphs of Functions
Special Functions Constant Step Absolute Value Piece Wise Identity.
Presentation transcript:

CSE 322: Software Reliability Engineering Topics covered: Software reliability models with explicit fault removal

Background: HPP vs. NHPP

State space view: HPP

State space view: NHPP

NHCTMC: Mean value function

NHCTMC solution: Piecewise linearization

Fault repair policies

NHCTMC model: Constant repair rate

NHCTMC model: Fault dependent repair rate

NHCTMC model: Metrics of interest

NHCTMC models with repair: Solution

Imperfect repair

NHCTMC model with imperfect repair

NHCTMC model with imperfect repair: Metrics

Feedback: Privacy Policy Feedback
Do Not Sell My Personal Information
About project: SlidePlayer Terms of Service

© 2025 SlidePlayer.com. Inc. All rights reserved.