Session VII: Verification and Validation / Testing

Slides:



Advertisements
Similar presentations
Software Testing and Analysis. Ultimate goal for software testing Quality Assurance.
Advertisements

Verification and Validation
Verification and Validation
Software Engineering-II Sir zubair sajid. What’s the difference? Verification – Are you building the product right? – Software must conform to its specification.
©Ian Sommerville 2000Software Engineering. Chapter 22Slide 1 Chapter 22 Verification and Validation.
Software Engineering COMP 201
©Ian Sommerville 2000Software Engineering, 6th edition. Chapter 19Slide 1 Verification and Validation l Assuring that a software system meets a user's.
1 / 28 CS 425/625 Software Engineering Verification and Validation Based on Chapter 19 of the textbook [SE-6] Ian Sommerville, Software Engineering, 6.
Verification and Validation
1 Software Testing and Quality Assurance Lecture 1 Software Verification & Validation.
©Ian Sommerville 2004Software Engineering, 7th edition. Chapter 22 Slide 1 Verification and Validation.
Verification and Validation CIS 376 Bruce R. Maxim UM-Dearborn.
Verification and Validation
1CMSC 345, Version 4/04 Verification and Validation Reference: Software Engineering, Ian Sommerville, 6th edition, Chapter 19.
©Ian Sommerville 2000Software Engineering, 6th edition. Chapter 19Slide 1 Verification and Validation l Assuring that a software system meets a user's.
Software Testing Verification and validation planning Software inspections Software Inspection vs. Testing Automated static analysis Cleanroom software.
©Ian Sommerville 1995 Software Engineering, 5th edition. Chapter 22Slide 1 Verification and Validation u Assuring that a software system meets a user's.
©Ian Sommerville 2000Software Engineering, 6th edition. Chapter 19Slide 1 Verification and Validation l Assuring that a software system meets a user's.
Verification and Validation Yonsei University 2 nd Semester, 2014 Sanghyun Park.
©Ian Sommerville 2004Software Engineering, 7th edition. Chapter 22 Slide 1 Verification and Validation.
Adaptive Processes © Adaptive Processes Simpler, Faster, Better Verification and Validation Assuring that a software system meets a user's needs.
Chapter 12: Software Testing Omar Meqdadi SE 273 Lecture 12 Department of Computer Science and Software Engineering University of Wisconsin-Platteville.
Dr. Tom WayCSC Code Reviews & Inspections CSC 4700 Software Engineering.
Verification and Validation Chapter 22 of Ian Sommerville’s Software Engineering.
Verification and Validation Hoang Huu Hanh, Hue University hanh-at-hueuni.edu.vn.
©Ian Sommerville 2006Software Engineering, 8th edition. Chapter 22 Slide 1 Verification and Validation Slightly adapted by Anders Børjesson.
Software testing techniques 2.Verification and validation From I. Sommerville textbook Kaunas University of Technology.
©Ian Sommerville 2000Software Engineering, 6th edition. Chapter 19Slide 1 Verification and Validation l Assuring that a software system meets a user's.
Software Testing Testing types Testing strategy Testing principles.
©Ian Sommerville 2000Software Engineering, 6th edition. Chapter 19Slide 1 Chapter 19 Verification and Validation.
CS.436 Software Engineering By Ajarn..Sutapart Sappajak,METC,MSIT Chapter 13 Verification and validation Slide 1 1 Chapter 13 Verification and Validation.
©Ian Sommerville 2004Software Engineering, 7th edition. Chapter 22 Slide 1 Software Verification, Validation and Testing.
SoftwareVerification and Validation
This chapter is extracted from Sommerville’s slides. Textbook chapter
©Ian Sommerville 2000Software Engineering, 6th edition. Chapter 19Slide 1 Chapter 19 Verification and Validation.
Verification and Validation
Ch 22 Verification and Validation
Anton Krbaťa Ján Budáč  Verification: "Are we building the product right ?„  Validation: "Are we building the right product ?"
©Ian Sommerville 2004Software Engineering, 7th edition. Chapter 22 Slide 1 Bzupages.com Verification and Validation.
CHAPTER 9: VERIFICATION AND VALIDATION 1. Objectives  To introduce software verification and validation and to discuss the distinction between them 
Verification and Validation Assuring that a software system meets a user's needs.
Chapter 12: Software Inspection Omar Meqdadi SE 3860 Lecture 12 Department of Computer Science and Software Engineering University of Wisconsin-Platteville.
Software Engineering, 8th edition Chapter 22 1 Courtesy: ©Ian Somerville 2006 April 27 th, 2009 Lecture # 19 Verification and Validation.
Verification and Validation Assuring that a software system meets a user's needs.
Software Engineering1  Verification: The software should conform to its specification  Validation: The software should do what the user really requires.
©Ian Sommerville Software Engineering, 7th edition. Chapter 22 Slide 1 Verification and Validation with edits by Dan Fleck Coming up: Objectives.
©Ian Sommerville 2004Software Engineering, 7th edition. Chapter 22 Slide 1 Verification and Validation with edits by Dan Fleck.
HNDIT23082 Lecture 09:Software Testing. Validations and Verification Validation and verification ( V & V ) is the name given to the checking and analysis.
Chapter 12: Software Testing Omar Meqdadi SE 273 Lecture 12 Department of Computer Science and Software Engineering University of Wisconsin-Platteville.
This chapter is extracted from Sommerville’s slides. Textbook chapter 22 1 Chapter 8 Validation and Verification 1.
©Ian Sommerville 2000Software Engineering, 6th edition. Chapter 19Slide 1 Software inspections l Involve people examining the source representation with.
References & User group Reference: Software Testing and Analysis Mauro Pezze Software Engineering Ian Sommerville Eight Edition (2007) User group:
Verification vs. Validation Verification: "Are we building the product right?" The software should conform to its specification.The software should conform.
Pradeep Konduri Niranjan Rao Julapelly.  Introduction and Overview  Verification Vs Validation  Process  Goals  Confidence  Role of V&V in different.
©Ian Sommerville 2000Software Engineering, 6th edition. Chapter 19Slide 1 Verification and Validation l Assuring that a software system meets a user's.
©Ian Sommerville 2006Software Engineering, 8th edition. Chapter 22 Slide 1 Verification and Validation.
Laurea Triennale in Informatica – Corso di Ingegneria del Software I – A.A. 2006/2007 Andrea Polini XVII. Verification and Validation.
Verification and Validation. Topics covered l Verification and validation planning l Program Testing l Software inspections.
Verification and Validation
Verification and Validation
CSC 480 Software Engineering
Verification and Validation
Verification & Validation
Verification and Validation
Verification and Validation
Verification and Validation
Verification and Validation Unit Testing
Verification & Validation
Verification and Validation
Presentation transcript:

Session VII: Verification and Validation / Testing SE 556 Project Management Session VII: Verification and Validation / Testing

Deliverables by Phase

If 99.9% Were Good Enough 9,703 checks would be deducted from the wrong bank accounts each hour 27,800 pieces of mail would be lost per hour 3,000,000 incorrect drug prescriptions per year 8,605 commercial aircraft takeoffs would annually result in crashes Futrell, Shafer, Shafer, “Quality Software Project Management”, 2002

Development Costs

Quality Assurance QA or SQA (Software Quality Assurance) Good QA comes from good process When does SQA begin? During requirements A CMM Level 2 function QA is your best window into the project

Test Plans (SQAP) Software Quality Assurance Plan Should be complete near end of requirements Use the IEEE standards

SQAP Standard sections Purpose Reference documents Management Documentation Standards, practices, conventions, metrics Quality measures Testing practices

SQAP Standard sections (continued) Reviews and Audits Risk Management Process and specific reviews Requirements Review (SRR) Test Plan Review Code reviews Post-mortem review Risk Management Tie-in QA to overall risk mgmt. Plan Problem Reporting and Corrective Action Tools, Techniques, Methodologies Records Collection and Retention

Software Quality Traceability Formal Reviews Ability to track relationship between work products Ex: how well do requirements/design/test cases match Formal Reviews Conducted at the end of each lifecycle phase SRR, CDR, etc.

Verification and Validation Assuring that a software system meets a user's needs

Verification vs Validation Verification: "Are we building the product right" The software should conform to its specification Validation: "Are we building the right product" The software should do what the user really requires

The V & V Process As a whole life-cycle process - V & V must be applied at each stage in the software process. Has two principal objectives The discovery of defects in a system The assessment of whether or not the system is usable in an operational situation.

Static and Dynamic Verification Software inspections Concerned with analysis of the static system representation to discover problems (static verification) May be supplement by tool-based document and code analysis Software testing Concerned with exercising and observing product behaviour (dynamic verification) The system is executed with test data and its operational behaviour is observed

Static And Dynamic V&V

Program Testing Can reveal the presence of errors NOT their absence !!! A successful test is a test which discovers one or more errors The only validation technique for non-functional requirements Should be used in conjunction with static verification to provide full V&V coverage

Types of Testing Defect testing Statistical testing Tests designed to discover system defects. A successful defect test is one which reveals the presence of defects in a system. Statistical testing tests designed to reflect the frequency of user inputs. Used for reliability estimation.

Testing Strategies Testing strategies are ways of approaching the testing process. Different strategies may be applied at different stages of the testing process. Strategies covered: Top-down testing Bottom-up testing Stress testing Back-to-back testing

V& V Goals Verification and validation should establish confidence that the software is fit for purpose This does NOT mean completely free of defects Rather, it must be good enough for its intended use and the type of use will determine the degree of confidence that is needed

V & V Confidence Depends on system’s purpose, user expectations and marketing environment Software function The level of confidence depends on how critical the software is to an organisation User expectations Users may have low expectations of certain kinds of software. Now it is less acceptable to deliver unreliable systems, so software companies must devote more effort to V&V! Marketing environment Getting a product to market early may be more important than finding defects in the program

Debugging is concerned with Testing and Debugging Defect testing and debugging are distinct processes (!) Verification and validation is concerned with establishing the existence of defects in a program Debugging is concerned with - locating and - repairing these errors (!!) Debugging involves formulating a hypothesis about program behaviour then testing these hypotheses to find the system error

The Debugging Process

V & V Planning Careful planning is required to get the most out of testing and inspection processes Planning should start early in the development process The plan should identify the balance between static verification and testing Test planning is about defining standards for the testing process rather than describing product tests

V Process Model This diagram shows how test plans should be derived from the system specification and design.

The Structure Of A Software Test Plan The testing process (a description of the major phases) Requirements traceability (a part of the user) Tested items Testing schedule Test recording procedures (it is not enough simply to run tests ) Hardware and software requirements Constraints

Software Inspections Involve people examining the source representation with the aim of discovering anomalies and defects Do not require execution of a system so may be used before implementation May be applied to any representation of the system (requirements, design, test data, etc.) Very effective technique for discovering errors

Inspection Success Many different defects may be discovered in a single inspection. In testing, one defect, may mask another so several executions are required The reuse domain and programming knowledge so reviewers are likely to have seen the types of error that commonly arise

Inspections and Testing Inspections and testing are complementary and not opposing verification techniques Both should be used during the V & V process Inspections can check conformance with a specification but not conformance with the customer’s real requirements Also inspections cannot check non-functional characteristics such as performance, usability, etc.

Program inspections – are reviews whose objective is program defect detection. Formalised approach to document reviews Intended explicitly for defect DETECTION (not correction) Defects may be logical errors, anomalies in the code that might indicate an erroneous condition (e.g. an uninitialised variable) or non-compliance with standards

Inspection Pre-conditions A precise specification must be available Team members must be familiar with the organisation standards Syntactically correct code must be available An error checklist should be prepared Management must accept that inspection will increase costs early in the software process Management must not use inspections for staff appraisal

The Inspection Process

Inspection Procedure System overview presented to inspection team Code and associated documents are distributed to inspection team in advance Inspection takes place and discovered errors are noted Modifications are made to repair discovered errors Re-inspection may or may not be required

Inspection Checklists Checklist of common errors should be used to drive the inspection Error checklist is programming language dependent The 'weaker' the type checking, the larger the checklist Examples: Initialisation, Constant naming, loop termination, array bounds, etc.

Inspection checks

Automated Static Analysis Static analysers are software tools for source text processing They parse the program text and try to discover potentially erroneous conditions and bring these to the attention of the V & V team Very effective as an aid to inspections. A supplement to but not a replacement for inspections

Static Analysis Checks

Stages Of Static Analysis Control flow analysis. Checks for loops with multiple exit or entry points, finds unreachable code, etc. Data use analysis. Detects uninitialised variables, variables written twice without an intervening assignment, variables which are declared but never used, etc. Interface analysis. Checks the consistency of routine and procedure declarations and their use

Stages Of Static Analysis Information flow analysis. Identifies the dependencies of output variables. Does not detect anomalies itself but highlights information for code inspection or review Path analysis. Identifies paths through the program and sets out the statements executed in that path. Again, potentially useful in the review process Both these stages generate vast amounts of information. Must be used with care.

Use Of Static Analysis Particularly valuable when a language such as C is used which has weak typing and hence many errors are undetected by the compiler Less cost-effective for languages like Java that have strong type checking and can therefore detect many errors during compilation

Testing Stages Unit testing Module testing Sub-system testing testing of individual components Module testing testing of collections of dependent components Sub-system testing testing collections of modules integrated into sub-systems System testing testing the complete system prior to delivery Acceptance testing testing by users to check that the system satisfies requirements. Sometimes called alpha testing

Black-Box Testing Functional Testing Program is a “black-box” Not concerned with how it works but what it does Focus on inputs & outputs Test cases are based on SRS (specs)

White-Box Testing Accounts for the structure of the program Coverage Statements executed Paths followed through the code

Unit Testing a.k.a. Module Testing Type of white-box testing Sometimes treated black-box Who does Unit Testing? Developers Unit tests are written in code Same language as the module a.k.a. “Test drivers” When do Unit Testing? Ongoing during development As individual modules are completed

Unit Testing Individual tests can be grouped JUnit “Test Suites” Part of the XP methodology “Test-first programming”

Integration Testing Testing interfaces between components First step after Unit Testing Components may work alone but fail when put together Defect may exist in one module but manifest in another Black-box tests

System Testing Testing the complete system A type of black-box testing

User Acceptance Testing Last milestone in testing phase Ultimate customer test & sign-off Sometimes synonymous with beta tests Customer is satisfied software meets their requirements Based on “Acceptance Criteria” Conditions the software must meet for customer to accept the system Ideally defined before contract is signed Use quantifiable, measurable conditions

Regression Testing Re-running of tests after fixes or changes are made to software or the environment EX: QA finds defect, developer fixes, QA runs regression test to verify Automated tools very helpful for this

Compatibility Testing Testing against other “platforms” Ex: Testing against multiple browsers Does it work under Netscape/IE, Windows/Mac

Cleanroom software development The name is derived from the 'Cleanroom' process in semiconductor fabrication. The philosophy is defect avoidance rather than defect removal Software development process based on: Incremental development Formal specification. Static verification using correctness arguments Statistical testing to determine program reliability.

The Cleanroom Process

Cleanroom Process Characteristics Formal specification using a state transition model Incremental development Structured programming - limited control and abstraction constructs are used Static verification using rigorous inspections Statistical testing of the system

Incremental Development

Formal Specification And Inspections The state based model is a system specification and the inspection process checks the program against this model Programming approach is defined so that the correspondence between the model and the system is clear Mathematical arguments (not proofs) are used to increase confidence in the inspection process

Cleanroom Process Teams Specification team. Responsible for developing and maintaining the system specification Development team. Responsible for developing and verifying the software. The software is NOT executed or even compiled during this process Certification team. Responsible for developing a set of statistical tests to exercise the software after development. Reliability growth models used to determine when reliability is acceptable

Cleanroom Process Evaluation Results in IBM have been very impressive with few discovered faults in delivered systems Independent assessment shows that the process is no more expensive than other approaches Fewer errors than in a 'traditional' development process Not clear how this approach can be transferred to an environment with less skilled or less highly motivated engineers

Key Points Verification and validation are not the same thing. Verification shows conformance with specification; validation shows that the program meets the customer’s needs Test plans should be drawn up to guide the testing process. Static verification techniques involve examination and analysis of the program for error detection

Key Points Program inspections are very effective in discovering errors Program code in inspections is checked by a small team to locate software faults Static analysis tools can discover program anomalies which may be an indication of faults in the code The Cleanroom development process depends on incremental development, static verification and statistical testing