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

SE 556 Project Management
Session VII: Verification and Validation / Testing
Deliverables by Phase
Possible Deliverables by Phase
 Concept Document
 Statement of Work (SOW)
 Project Charter
 RFP & Proposal
Software
Concept
 Requirements Document (Software Requirements Specification)
 Work Breakdown Structure (WBS)
 Functional Specification ( Top Level Design Specification)
 Entity Relationship Diagram
 Data Flow Diagram
Requirements
 Detailed Design Specification
 Object Diagrams
 Detailed Data Model
Analysis






Project Development Plan
(Software Development Plan )
Baseline Project Plan
Quality Assurance Plan
Configuration Management Plan
Risk Management Plan
Design
 Coding Standards
 Working Code
 Unit Tests
Coding and
Debugging
 Integration Plan
 Detailed SQA Test Plan
 SQA Test Cases
 User Documentation
 Training Plan
 Acceptance Test Procedures
 Tested Application
Systems
Testing
 Maintenance Specification
 Deployed Application
Deployment &
Maintenance
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
7%
29%
Requirements
16%
Preliminary Design
Detailed Design
Code & Unit Test
24%
24%
Integration & System
Test
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
• 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
• 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
Static
verification
Requirements
specification
Prototype
High-level
design
Formal
specification
Detailed
design
Program
Dynamic
validation
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
– 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
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
Test
results
Locate
error
Test
cases
Specification
Design
error repair
Repair
error
Re-test
program
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
Project
Requirements and
Planning
Non-functional
Requirements
Product
Requirements and
Specification
Analysis
Production,
Operations, and
Maintenance
Load &
Performance Test
System Testing
and Acceptance
Testing
User Interface
Design
Usability Test
Integration and
Testing
High-Level Desig
Detailed Design
Unit Testing
Coding
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
Planning
Overview
Follow-up
Individual
preparation
Rework
Inspection
meeting
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.
Fault clas s
Data faults
Ins pection check
Are all program variab les in itialis ed befo re th eir values
are u sed?
Hav e all con stants been n amed ?
Sh ould the lower bou nd o f arrays be 0, 1, or something
else?
Sh ould the upp er b ound of array s b eequal to the size of
the array or Size -1?
If character s tring s are us ed , is a delimiter explicitly
ass igned?
Con trol faults
Fo r each co nditional s tatement, is the con ditio n correct?
Is each loo p certain to termin ate?
Are compou nd s tatements correctly bracketed ?
In case statements, are all p oss ible cas es accounted fo r?
Inp ut/outp ut faults
Are all inpu t variab les us ed ?
Are all outpu t variab les ass igned a value before they are
ou tput?
Interface faults
Do all fu nction and procedu re calls hav e th e correct
nu mb er o f parameters?
Do fo rmal and actual parameter typ es match?
Are th e p arameters in the righ t order?
If compon ents acces s s hared memory, do th ey hav e the
s ame mo del of th e s hared memory s tructure?
Sto rage man agement If a linked s tructure is mo dified,
have all links been
faults
correctly reass igned?
If d ynamic s torag e is u sed, h as sp ace b een allocated
correctly?
Is sp ace explicitly de-allocated after it
is noInspection
lon ger
required?
Exception
Hav e all pos sib le error con ditio ns been taken
in to
man agement faults
account?
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
Fault clas s
Data faults
Static analys is check
Variables us ed before initialisation
Variables declared but never used
Variables ass igned twice but never us ed
between ass ignments
Poss ible array bound violations
Undeclared variables
Control faults
Unreachable code
Unconditional branches into loops
Input/output faults
Variables output twice with no intervening
ass ignment
Interface faults
Parameter type mismatches
Parameter number mismatches
Non-usage of the results of functions
Uncalled functions and procedures
Storage
management Unass igned pointers
faults
Pointer arithmetic
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
– 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
– “Test Suites”
• JUnit
• 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
Formally
specify
system
Error rework
Define
software
increments
Develop
operational
profile
Construct
structured
program
Formally
verify
code
Design
statistical
tests
Integrate
increment
Test
integrated
system
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
Frozen
specification
Establish
rerquirements
Formal
specification
Develop s/w
increment
Requir ements change request
Deliver
software
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