SlideShare a Scribd company logo
1 of 15
Course Notes Set 5:
Software Quality Assurance
Computer Science and Software Engineering
Auburn University
What is Software Quality?
• Simplistically, quality is an attribute of software
that implies the software meets its specification
• This definition is too simple for ensuring quality
in software systems
• Software specifications are often incomplete or
ambiguous
• Some quality attributes are difficult to specify
• Tension exists between some quality attributes, e.g.
efficiency vs. reliability
Software Quality Attributes
• Safety
• Security
• Reliability
• Resilience
• Robustness
• Understandability
• Testability
• Adaptability
• Modularity
• Complexity
• Portability
• Usability
• Reusability
• Efficiency
• Learnability
Software Quality
• Conformance to explicitly stated functional and performance
requirements, explicitly documented development standards, and
implicit characteristics that are expected of all professionally
developed software
• Software requirements are the foundation from which quality is
measured.
• Lack of conformance to requirements is lack of quality.
• Specified standards define a set of development criteria that guide the
manner in which software is engineered.
• If the criteria are not met, lack of quality will almost surely result.
• There is a set of implicit requirements that often goes unmentioned.
• If software conforms to its explicit requirements but fails to meet its
implicit requirements, software quality is suspect.
[Adapted from Pressman 4th Ed]
Software Quality Assurance
• To ensure quality in a software product, an organization must have a three-prong
approach to quality management:
• Organization-wide policies, procedures and standards must be established.
• Project-specific policies, procedures and standards must be tailored from the
organization-wide templates.
• Quality must be controlled; that is, the organization must ensure that the appropriate
procedures are followed for each project
• Standards exist to help an organization draft an appropriate software quality
assurance plan.
• ISO 9000-3
• ANSI/IEEE standards
• External entities can be contracted to verify that an organization is standard-
compliant.
A Software Quality Plan
ISO 9000
model
Organization
quality plan
Project A
quality plan
Project B
quality plan
Project C
quality plan
[Adapted from Sommerville 5th Ed]
SQA Activities
• Applying technical methods
• To help the analyst achieve a high quality specification and a high quality design
• Conducting formal technical reviews
• A stylized meeting conducted by technical staff with the sole purpose of uncovering quality problems
• Testing Software
• A series of test case design methods that help ensure effective error detection
• Enforcing standards
• Controlling change
• Applied during software development and maintenance
• Measurement
• Track software quality and asses the ability of methodological and procedural changes to improve
software quality
• Record keeping and reporting
• Provide procedures for the collection and dissemination of SQA information
Advantages of SQA
• Software will have fewer latent defects,
resulting in reduced effort and time spent
during testing and maintenance
• Higher reliability will result in greater
customer satisfaction
• Maintenance costs can be reduced
• Overall life cycle cost of software is reduced
Disadvantages of SQA
• It is difficult to institute in small
organizations, where available resources to
perform necessary activities are not available
• It represents cultural change - and change is
never easy
• It requires the expenditure of dollars that
would not otherwise be explicitly budgeted to
software engineering or QA
Quality Reviews
• The fundamental method of validating the quality of a product or a
process.
• Applied during and/or at the end of each life cycle phase
• Point out needed improvements in the product of a single person or team
• Confirm those parts of a product in which improvement is either not desired
or not needed
• Achieve technical work of more uniform, or at least more predictable, quality
than what can be achieved without reviews, in order to make technical work
more manageable
• Quality reviews can have different intents:
• review for defect removal
• review for progress assessment
• review for consistency and conformance
Review Checklist for Systems Engineering
• Are major functions defined in a bounded and unambiguous fashion?
• Are interfaces between system elements defined?
• Are performance bounds established for the system as a whole and for
each element?
• Are design constraints established for each element?
• Has the best alternative been selected?
• Is the solution technologically feasible?
• Has a mechanism for system validation and verification been established?
• Is there consistency among all system elements?
[Adapted from Behforooz and Hudson]
Review Checklist for Software
Project Planning
• Is the software scope unambiguously defined and bounded?
• Is terminology clear?
• Are resources adequate for the scope?
• Are resources readily available?
• Are tasks properly defined and sequenced?
• Is the basis for cost estimation reasonable? Has it been developed using
two different sources?
• Have historical productivity and quality data been used?
• Have differences in estimates been reconciled?
• Are pre-established budgets and deadlines realistic?
• Is the schedule consistent?
Review Checklist for Software
Requirements Analysis
• Is the information domain analysis complete, consistent, and
accurate?
• Is problem partitioning complete?
• Are external and internal interfaces properly defined?
• Are all requirements traceable to the system level?
• Is prototyping conducted for the customer?
• Is performance achievable with constraints imposed by other
system elements?
• Are requirements consistent with schedule, resources, and budget?
• Are validation criteria complete?
Software Reliability
• Probability of failure-free operation for a specified time in
a specified environment.
• This could mean very different things for different
systems and different users.
• Informally, reliability is a measure of the users’ perception
of how well the software provides the services they need.
• Not an objective measure
• Must be based on an operational profile
• Must consider that there are widely varying consequences for
different errors
Reliability Improvements
• Software reliability improves when faults which are
present in the most frequently used portions of the
software are removed.
• A removal of X% of faults doesn’t necessarily mean an
X% improvement in reliability.
• In a study by Mills et al. in 1987 removing 60% of faults
resulted in a 3% improvement in reliability.
• Removing faults with the most serious consequences is
the primary objective.

More Related Content

Similar to 05_SQA_Overview.ppt

Software System Engineering - Chapter 1
Software System Engineering - Chapter 1Software System Engineering - Chapter 1
Software System Engineering - Chapter 1Fadhil Ismail
 
Ssad quality assurance
Ssad quality assuranceSsad quality assurance
Ssad quality assuranceRavi Shekhar
 
Software quality assurance
Software quality assuranceSoftware quality assurance
Software quality assuranceRizky Munggaran
 
Software Quality Assurance - Software Engineering
Software Quality Assurance - Software EngineeringSoftware Quality Assurance - Software Engineering
Software Quality Assurance - Software EngineeringPurvik Rana
 
Software Productivity Measurement
Software Productivity MeasurementSoftware Productivity Measurement
Software Productivity MeasurementAjeng Savitri
 
Chapter 8 software quality assurance and configuration audit
Chapter 8 software quality assurance and configuration auditChapter 8 software quality assurance and configuration audit
Chapter 8 software quality assurance and configuration auditCliftone Mullah
 
Intoduction to software engineering part 2
Intoduction to software engineering part 2Intoduction to software engineering part 2
Intoduction to software engineering part 2Rupesh Vaishnav
 
Software testing-and-analysis
Software testing-and-analysisSoftware testing-and-analysis
Software testing-and-analysisWBUTTUTORIALS
 
05_SQA_Overview.ppt
05_SQA_Overview.ppt05_SQA_Overview.ppt
05_SQA_Overview.pptShimoFcis
 
05_SQA_Overview.ppt
05_SQA_Overview.ppt05_SQA_Overview.ppt
05_SQA_Overview.pptamanraturi10
 

Similar to 05_SQA_Overview.ppt (20)

Software System Engineering - Chapter 1
Software System Engineering - Chapter 1Software System Engineering - Chapter 1
Software System Engineering - Chapter 1
 
Ssad quality assurance
Ssad quality assuranceSsad quality assurance
Ssad quality assurance
 
Software Testing
Software Testing Software Testing
Software Testing
 
Software quality assurance
Software quality assuranceSoftware quality assurance
Software quality assurance
 
Software Quality Assurance - Software Engineering
Software Quality Assurance - Software EngineeringSoftware Quality Assurance - Software Engineering
Software Quality Assurance - Software Engineering
 
Software testing introduction
Software testing  introductionSoftware testing  introduction
Software testing introduction
 
Software Productivity Measurement
Software Productivity MeasurementSoftware Productivity Measurement
Software Productivity Measurement
 
Chapter 8 software quality assurance and configuration audit
Chapter 8 software quality assurance and configuration auditChapter 8 software quality assurance and configuration audit
Chapter 8 software quality assurance and configuration audit
 
SQA
SQASQA
SQA
 
QA Basics and PM Overview
QA Basics and PM OverviewQA Basics and PM Overview
QA Basics and PM Overview
 
Intoduction to software engineering part 2
Intoduction to software engineering part 2Intoduction to software engineering part 2
Intoduction to software engineering part 2
 
SQA_Class
SQA_ClassSQA_Class
SQA_Class
 
unit-5-1.ppt
unit-5-1.pptunit-5-1.ppt
unit-5-1.ppt
 
unit-5-1.ppt
unit-5-1.pptunit-5-1.ppt
unit-5-1.ppt
 
Software quality assurance
Software quality assuranceSoftware quality assurance
Software quality assurance
 
Rangkuman part 3
Rangkuman part 3Rangkuman part 3
Rangkuman part 3
 
Software testing-and-analysis
Software testing-and-analysisSoftware testing-and-analysis
Software testing-and-analysis
 
05_SQA_Overview.ppt
05_SQA_Overview.ppt05_SQA_Overview.ppt
05_SQA_Overview.ppt
 
05_SQA_Overview.ppt
05_SQA_Overview.ppt05_SQA_Overview.ppt
05_SQA_Overview.ppt
 
05 sqa overview
05 sqa overview05 sqa overview
05 sqa overview
 

Recently uploaded

power system scada applications and uses
power system scada applications and usespower system scada applications and uses
power system scada applications and usesDevarapalliHaritha
 
Microscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptxMicroscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptxpurnimasatapathy1234
 
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...Soham Mondal
 
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...ranjana rawat
 
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024hassan khalil
 
microprocessor 8085 and its interfacing
microprocessor 8085  and its interfacingmicroprocessor 8085  and its interfacing
microprocessor 8085 and its interfacingjaychoudhary37
 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxPoojaBan
 
GDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentationGDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentationGDSCAESB
 
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile serviceCall Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile servicerehmti665
 
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...Dr.Costas Sachpazis
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfAsst.prof M.Gokilavani
 
HARMONY IN THE HUMAN BEING - Unit-II UHV-2
HARMONY IN THE HUMAN BEING - Unit-II UHV-2HARMONY IN THE HUMAN BEING - Unit-II UHV-2
HARMONY IN THE HUMAN BEING - Unit-II UHV-2RajaP95
 
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escortsranjana rawat
 
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidmain PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidNikhilNagaraju
 
Biology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptxBiology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptxDeepakSakkari2
 
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxbritheesh05
 
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...VICTOR MAESTRE RAMIREZ
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...srsj9000
 
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptxApplication of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx959SahilShah
 

Recently uploaded (20)

power system scada applications and uses
power system scada applications and usespower system scada applications and uses
power system scada applications and uses
 
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCRCall Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
 
Microscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptxMicroscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptx
 
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
 
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
 
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024
 
microprocessor 8085 and its interfacing
microprocessor 8085  and its interfacingmicroprocessor 8085  and its interfacing
microprocessor 8085 and its interfacing
 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptx
 
GDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentationGDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentation
 
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile serviceCall Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile service
 
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
 
HARMONY IN THE HUMAN BEING - Unit-II UHV-2
HARMONY IN THE HUMAN BEING - Unit-II UHV-2HARMONY IN THE HUMAN BEING - Unit-II UHV-2
HARMONY IN THE HUMAN BEING - Unit-II UHV-2
 
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
 
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidmain PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfid
 
Biology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptxBiology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptx
 
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptx
 
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
 
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptxApplication of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx
 

05_SQA_Overview.ppt

  • 1. Course Notes Set 5: Software Quality Assurance Computer Science and Software Engineering Auburn University
  • 2. What is Software Quality? • Simplistically, quality is an attribute of software that implies the software meets its specification • This definition is too simple for ensuring quality in software systems • Software specifications are often incomplete or ambiguous • Some quality attributes are difficult to specify • Tension exists between some quality attributes, e.g. efficiency vs. reliability
  • 3. Software Quality Attributes • Safety • Security • Reliability • Resilience • Robustness • Understandability • Testability • Adaptability • Modularity • Complexity • Portability • Usability • Reusability • Efficiency • Learnability
  • 4. Software Quality • Conformance to explicitly stated functional and performance requirements, explicitly documented development standards, and implicit characteristics that are expected of all professionally developed software • Software requirements are the foundation from which quality is measured. • Lack of conformance to requirements is lack of quality. • Specified standards define a set of development criteria that guide the manner in which software is engineered. • If the criteria are not met, lack of quality will almost surely result. • There is a set of implicit requirements that often goes unmentioned. • If software conforms to its explicit requirements but fails to meet its implicit requirements, software quality is suspect. [Adapted from Pressman 4th Ed]
  • 5. Software Quality Assurance • To ensure quality in a software product, an organization must have a three-prong approach to quality management: • Organization-wide policies, procedures and standards must be established. • Project-specific policies, procedures and standards must be tailored from the organization-wide templates. • Quality must be controlled; that is, the organization must ensure that the appropriate procedures are followed for each project • Standards exist to help an organization draft an appropriate software quality assurance plan. • ISO 9000-3 • ANSI/IEEE standards • External entities can be contracted to verify that an organization is standard- compliant.
  • 6. A Software Quality Plan ISO 9000 model Organization quality plan Project A quality plan Project B quality plan Project C quality plan [Adapted from Sommerville 5th Ed]
  • 7. SQA Activities • Applying technical methods • To help the analyst achieve a high quality specification and a high quality design • Conducting formal technical reviews • A stylized meeting conducted by technical staff with the sole purpose of uncovering quality problems • Testing Software • A series of test case design methods that help ensure effective error detection • Enforcing standards • Controlling change • Applied during software development and maintenance • Measurement • Track software quality and asses the ability of methodological and procedural changes to improve software quality • Record keeping and reporting • Provide procedures for the collection and dissemination of SQA information
  • 8. Advantages of SQA • Software will have fewer latent defects, resulting in reduced effort and time spent during testing and maintenance • Higher reliability will result in greater customer satisfaction • Maintenance costs can be reduced • Overall life cycle cost of software is reduced
  • 9. Disadvantages of SQA • It is difficult to institute in small organizations, where available resources to perform necessary activities are not available • It represents cultural change - and change is never easy • It requires the expenditure of dollars that would not otherwise be explicitly budgeted to software engineering or QA
  • 10. Quality Reviews • The fundamental method of validating the quality of a product or a process. • Applied during and/or at the end of each life cycle phase • Point out needed improvements in the product of a single person or team • Confirm those parts of a product in which improvement is either not desired or not needed • Achieve technical work of more uniform, or at least more predictable, quality than what can be achieved without reviews, in order to make technical work more manageable • Quality reviews can have different intents: • review for defect removal • review for progress assessment • review for consistency and conformance
  • 11. Review Checklist for Systems Engineering • Are major functions defined in a bounded and unambiguous fashion? • Are interfaces between system elements defined? • Are performance bounds established for the system as a whole and for each element? • Are design constraints established for each element? • Has the best alternative been selected? • Is the solution technologically feasible? • Has a mechanism for system validation and verification been established? • Is there consistency among all system elements? [Adapted from Behforooz and Hudson]
  • 12. Review Checklist for Software Project Planning • Is the software scope unambiguously defined and bounded? • Is terminology clear? • Are resources adequate for the scope? • Are resources readily available? • Are tasks properly defined and sequenced? • Is the basis for cost estimation reasonable? Has it been developed using two different sources? • Have historical productivity and quality data been used? • Have differences in estimates been reconciled? • Are pre-established budgets and deadlines realistic? • Is the schedule consistent?
  • 13. Review Checklist for Software Requirements Analysis • Is the information domain analysis complete, consistent, and accurate? • Is problem partitioning complete? • Are external and internal interfaces properly defined? • Are all requirements traceable to the system level? • Is prototyping conducted for the customer? • Is performance achievable with constraints imposed by other system elements? • Are requirements consistent with schedule, resources, and budget? • Are validation criteria complete?
  • 14. Software Reliability • Probability of failure-free operation for a specified time in a specified environment. • This could mean very different things for different systems and different users. • Informally, reliability is a measure of the users’ perception of how well the software provides the services they need. • Not an objective measure • Must be based on an operational profile • Must consider that there are widely varying consequences for different errors
  • 15. Reliability Improvements • Software reliability improves when faults which are present in the most frequently used portions of the software are removed. • A removal of X% of faults doesn’t necessarily mean an X% improvement in reliability. • In a study by Mills et al. in 1987 removing 60% of faults resulted in a 3% improvement in reliability. • Removing faults with the most serious consequences is the primary objective.