Quality Management Managing the quality of the software process and products
Objectives To introduce the quality management process and key quality management activities To explain the role of standards in quality management To explain the concept of a software metric, predictor metrics and control metrics To explain how measurement may be used in assessing software quality
Topics covered Quality assurance and standards Quality planning Quality control Software measurement and metrics
Software quality management Concerned with ensuring that the required level of quality is achieved in a software product Involves defining appropriate quality standards and procedures and ensuring that these are followed Should aim to develop a ‘quality culture’ where quality is seen as everyone’s responsibility
What is quality? Quality, simplistically, means that a product should meet its specification This is problematical for software systems Tension between customer quality requirements (efficiency, reliability, etc.) and developer quality requirements (maintainability, reusability, etc.) Some quality requirements are difficult to specify in an unambiguous way Software specifications are usually incomplete and often inconsistent
The quality compromise We cannot wait for specifications to improve before paying attention to quality management Must put procedures into place to improve quality in spite of imperfect specification Quality management is therefore not just concerned with reducing defects but also with other product qualities
Quality management activities Quality assurance Establish organisational procedures and standards for quality Quality planning Select applicable procedures and standards for a particular project and modify these as required Quality control Ensure that procedures and standards are followed by the software development team Quality management should be separate from project management to ensure independence
Quality management and software development
ISO 9000 International set ofstandards for quality management Applicable to a range of organisations from manufacturing to service industries ISO 9001 applicable to organisations which design, develop and maintain products ISO 9001 is a generic model of the quality process Must be instantiated for each organisation
ISO 9001
ISO 9000 certification Quality standards and procedures should be documented in an organisational quality manual External body may certify that an organisation’s quality manual conforms to ISO 9000 standards Customers are, increasingly, demanding that suppliers are ISO 9000 certified
ISO 9000 and quality management
Standards are the key to effective quality management They may be international, national, organizational or project standards Product standards define characteristics that all components should exhibit e.g. a common programming style Process standards define how the software process should be enacted Quality assurance and standards
Encapsulation of best practice- avoids  repetition of past mistakes Framework for quality assurance process - it involves checking standard compliance Provide continuity - new staff can understand  the organisation by understand the standards  applied Importance of standards
Product and process standards
Problems with standards Not seen as relevant and up-to-date by software engineers Involve too much bureaucratic form filling Unsupported by software tools so tedious manual work is involved to maintain standards
Involve practitioners in development. Engineers should understand the rationale  underlying a standard Review standards and their usage regularly.  Standards can quickly become outdated and this reduces their credibility amongst practitioners Detailed standards should have associated tool  support. Excessive clerical work is the most  significant complaint against standards Standards development
Documentation standards Particularly important - documents are the tangible manifestation of the software Documentation process standards How documents should be developed, validated and maintained Document standards Concerned with document contents, structure, and appearance Document interchange standards How documents are stored and interchanged between different documentation systems
Documentation process
Document standards Document identification standards How documents are uniquely identified Document structure standards Standard structure for project documents Document presentation standards Define fonts and styles, use of logos, etc. Document update standards Define how changes from previous versions are reflected in a document
Document interchange standards Documents are produced using different systems and on different computers Interchange standards allow electronic documents to be exchanged, mailed, etc. Need for archiving. The lifetime of word processing systems may be much less than the lifetime of the software being documented XML is an emerging standard for document interchange which will be widely supported in future
The quality of a developed product is influenced by the quality of the production process Particularly important in software development as some product quality attributes are hard to assess However, there is a very complex and poorly understood between software processes and product quality Process and product quality
Process-based quality Straightforward link between process and product in manufactured goods More complex for software because: The application of individual skills and experience is particularly imporant in software development External factors such as the novelty of an application or the need for an accelerated development schedule may impair product quality Care must be taken not to impose inappropriate process standards
Process-based quality
Define process standards such as how reviews  should be conducted, configuration  management, etc. Monitor the development process to ensure  that standards are being followed Report on the process to project management  and software procurer Practical process quality
Quality planning A quality plan sets out the desired product qualities and how these are assessed ande define the most significant quality attributes It should define the quality assessment process It should set out which organisational standards should be applied and, if necessary, define new standards
Quality plan structure Product introduction Product plans Process descriptions Quality goals Risks and risk management Quality plans should be short, succinct documents If they are too long, no-one will read them
Software quality attributes
Quality control Checking the software development process to ensure that procedures and standards are being followed Two approaches to quality control Quality reviews Automated software assessment and software measurement
Quality reviews The principal method of validating the quality of a process or of a product Group examined part or all of a process or system and its documentation to find potential problems There are different types of review with different objectives Inspections for defect removal (product) Reviews for progress assessment(product and process) Quality reviews (product and standards)
Types of review
A group of people carefully examine part or all  of a software system and its associated  documentation. Code, designs, specifications, test plans,  standards, etc. can all be reviewed. Software or documents may be 'signed off' at a  review which signifies that progress to the next  development stage has been approved by  management. Quality reviews
The review process
Review functions Quality function - they are part of the general quality management process Project management function - they provide information for project managers Training and communication function - product knowledge is passed between development team members
Quality reviews Objective is the discovery of system defects and inconsistencies Any documents produced in the process may be reviewed Review teams should be relatively small and reviews should be fairly short Review should be recorded and records maintained
Comments made during the review should be  classified. No action. No change to the software or documentation is  required. Refer for repair. Designer or programmer should correct an  identified fault. Reconsider overall design.  The problem identified in the  review impacts other parts of the design. Some overall  judgement must be made about the most cost-effective way  of solving the problem. Requirements and specification errors may  have to be referred to the client. Review results
Software measurement and metrics Software measurement is concerned with deriving a numeric value for an attribute of a software product or process This allows for objective comparisons between techniques and processes Although some companies have introduced measurment programmes, the systematic use of measurement is still uncommon There are few standards in this area
Any type of measurement which relates to a software system, process or related documentation Lines of code in a program, the Fog index, number of person-days required to develop a component Allow the software and the software process to  be quantified Measures of the software process or product May be used to predict product attributes or to control the software process Software metric
Predictor and control metrics
A software property can be measured The relationship exists between what we can  measure and what we want to know This relationship has been formalized and  validated It may be difficult to relate what can be measured to desirable quality attributes Metrics assumptions
Internal and external attributes
The measurement process A software measurement process may be part of a quality control process Data collected during this process should be maintained as an organisational resource Once a measurement database has been established, comparisons across projects become possible
Product measurement process
Data collection A metrics programme should be based on a set of product and process data Data should be collected immediately (not in retrospect) and, if possible, automatically Three types of automatic data collection Static product analysis Dynamic product analysis Process data collation
Automated data collection
Data accuracy Don’t collect unnecessary data  The questions to be answered should be decided in advance and the required data identified Tell people why the data is being collected  It should not be part of personnel evaluation Don’t rely on memory  Collect data when it is generated not after a project has finished
A quality metric should be a predictor of  product quality Classes of product metric Dynamic metrics which are collected by measurements made of a program in execution Static metrics which are collected by measurements made of the system representations Dynamic metrics help assess efficiency and reliability; static metrics help assess complexity, understandability and maintainability Product metrics
Dynamic and static metrics Dynamic metrics are closely related to software quality attributes It is relatively easy to measure the response time of a system (performance attribute) or the number of failures (reliability attribute) Static metrics have an indirect relationship with quality attributes You need to try and derive a relationship between these metrics and properties such as complexity, understandability and maintainability
Software product metrics
Object-oriented metrics
Measurement analysis It is not always obvious what data means  Analysing collected data is very difficult Professional statisticians should be consulted if available Data analysis must take local circumstances into account
Measurement surprises Reducing the number of faults in a program leads to an increased number of help desk calls The program is now thought of as more reliable and so has a wider more diverse market. The percentage of users who call the help desk may have decreased but the total may increase A more reliable system is used in a different way from a system where users work around the faults. This leads to more help desk calls
Key points Software quality management is concerned with ensuring that software meets its required standards Quality assurance procedures should be documented in an organisational quality manual Software standards are an encapsulation of best practice Reviews are the most widely used approach for assessing software quality
Key points Software measurement gathers information about both the software process and the software product Product quality metrics should be used to identify potentially problematical components There are no standardised and universally applicable software metrics

Quality Management in Software Engineering SE24

  • 1.
    Quality Management Managingthe quality of the software process and products
  • 2.
    Objectives To introducethe quality management process and key quality management activities To explain the role of standards in quality management To explain the concept of a software metric, predictor metrics and control metrics To explain how measurement may be used in assessing software quality
  • 3.
    Topics covered Qualityassurance and standards Quality planning Quality control Software measurement and metrics
  • 4.
    Software quality managementConcerned with ensuring that the required level of quality is achieved in a software product Involves defining appropriate quality standards and procedures and ensuring that these are followed Should aim to develop a ‘quality culture’ where quality is seen as everyone’s responsibility
  • 5.
    What is quality?Quality, simplistically, means that a product should meet its specification This is problematical for software systems Tension between customer quality requirements (efficiency, reliability, etc.) and developer quality requirements (maintainability, reusability, etc.) Some quality requirements are difficult to specify in an unambiguous way Software specifications are usually incomplete and often inconsistent
  • 6.
    The quality compromiseWe cannot wait for specifications to improve before paying attention to quality management Must put procedures into place to improve quality in spite of imperfect specification Quality management is therefore not just concerned with reducing defects but also with other product qualities
  • 7.
    Quality management activitiesQuality assurance Establish organisational procedures and standards for quality Quality planning Select applicable procedures and standards for a particular project and modify these as required Quality control Ensure that procedures and standards are followed by the software development team Quality management should be separate from project management to ensure independence
  • 8.
    Quality management andsoftware development
  • 9.
    ISO 9000 Internationalset ofstandards for quality management Applicable to a range of organisations from manufacturing to service industries ISO 9001 applicable to organisations which design, develop and maintain products ISO 9001 is a generic model of the quality process Must be instantiated for each organisation
  • 10.
  • 11.
    ISO 9000 certificationQuality standards and procedures should be documented in an organisational quality manual External body may certify that an organisation’s quality manual conforms to ISO 9000 standards Customers are, increasingly, demanding that suppliers are ISO 9000 certified
  • 12.
    ISO 9000 andquality management
  • 13.
    Standards are thekey to effective quality management They may be international, national, organizational or project standards Product standards define characteristics that all components should exhibit e.g. a common programming style Process standards define how the software process should be enacted Quality assurance and standards
  • 14.
    Encapsulation of bestpractice- avoids repetition of past mistakes Framework for quality assurance process - it involves checking standard compliance Provide continuity - new staff can understand the organisation by understand the standards applied Importance of standards
  • 15.
  • 16.
    Problems with standardsNot seen as relevant and up-to-date by software engineers Involve too much bureaucratic form filling Unsupported by software tools so tedious manual work is involved to maintain standards
  • 17.
    Involve practitioners indevelopment. Engineers should understand the rationale underlying a standard Review standards and their usage regularly. Standards can quickly become outdated and this reduces their credibility amongst practitioners Detailed standards should have associated tool support. Excessive clerical work is the most significant complaint against standards Standards development
  • 18.
    Documentation standards Particularlyimportant - documents are the tangible manifestation of the software Documentation process standards How documents should be developed, validated and maintained Document standards Concerned with document contents, structure, and appearance Document interchange standards How documents are stored and interchanged between different documentation systems
  • 19.
  • 20.
    Document standards Documentidentification standards How documents are uniquely identified Document structure standards Standard structure for project documents Document presentation standards Define fonts and styles, use of logos, etc. Document update standards Define how changes from previous versions are reflected in a document
  • 21.
    Document interchange standardsDocuments are produced using different systems and on different computers Interchange standards allow electronic documents to be exchanged, mailed, etc. Need for archiving. The lifetime of word processing systems may be much less than the lifetime of the software being documented XML is an emerging standard for document interchange which will be widely supported in future
  • 22.
    The quality ofa developed product is influenced by the quality of the production process Particularly important in software development as some product quality attributes are hard to assess However, there is a very complex and poorly understood between software processes and product quality Process and product quality
  • 23.
    Process-based quality Straightforwardlink between process and product in manufactured goods More complex for software because: The application of individual skills and experience is particularly imporant in software development External factors such as the novelty of an application or the need for an accelerated development schedule may impair product quality Care must be taken not to impose inappropriate process standards
  • 24.
  • 25.
    Define process standardssuch as how reviews should be conducted, configuration management, etc. Monitor the development process to ensure that standards are being followed Report on the process to project management and software procurer Practical process quality
  • 26.
    Quality planning Aquality plan sets out the desired product qualities and how these are assessed ande define the most significant quality attributes It should define the quality assessment process It should set out which organisational standards should be applied and, if necessary, define new standards
  • 27.
    Quality plan structureProduct introduction Product plans Process descriptions Quality goals Risks and risk management Quality plans should be short, succinct documents If they are too long, no-one will read them
  • 28.
  • 29.
    Quality control Checkingthe software development process to ensure that procedures and standards are being followed Two approaches to quality control Quality reviews Automated software assessment and software measurement
  • 30.
    Quality reviews Theprincipal method of validating the quality of a process or of a product Group examined part or all of a process or system and its documentation to find potential problems There are different types of review with different objectives Inspections for defect removal (product) Reviews for progress assessment(product and process) Quality reviews (product and standards)
  • 31.
  • 32.
    A group ofpeople carefully examine part or all of a software system and its associated documentation. Code, designs, specifications, test plans, standards, etc. can all be reviewed. Software or documents may be 'signed off' at a review which signifies that progress to the next development stage has been approved by management. Quality reviews
  • 33.
  • 34.
    Review functions Qualityfunction - they are part of the general quality management process Project management function - they provide information for project managers Training and communication function - product knowledge is passed between development team members
  • 35.
    Quality reviews Objectiveis the discovery of system defects and inconsistencies Any documents produced in the process may be reviewed Review teams should be relatively small and reviews should be fairly short Review should be recorded and records maintained
  • 36.
    Comments made duringthe review should be classified. No action. No change to the software or documentation is required. Refer for repair. Designer or programmer should correct an identified fault. Reconsider overall design. The problem identified in the review impacts other parts of the design. Some overall judgement must be made about the most cost-effective way of solving the problem. Requirements and specification errors may have to be referred to the client. Review results
  • 37.
    Software measurement andmetrics Software measurement is concerned with deriving a numeric value for an attribute of a software product or process This allows for objective comparisons between techniques and processes Although some companies have introduced measurment programmes, the systematic use of measurement is still uncommon There are few standards in this area
  • 38.
    Any type ofmeasurement which relates to a software system, process or related documentation Lines of code in a program, the Fog index, number of person-days required to develop a component Allow the software and the software process to be quantified Measures of the software process or product May be used to predict product attributes or to control the software process Software metric
  • 39.
  • 40.
    A software propertycan be measured The relationship exists between what we can measure and what we want to know This relationship has been formalized and validated It may be difficult to relate what can be measured to desirable quality attributes Metrics assumptions
  • 41.
  • 42.
    The measurement processA software measurement process may be part of a quality control process Data collected during this process should be maintained as an organisational resource Once a measurement database has been established, comparisons across projects become possible
  • 43.
  • 44.
    Data collection Ametrics programme should be based on a set of product and process data Data should be collected immediately (not in retrospect) and, if possible, automatically Three types of automatic data collection Static product analysis Dynamic product analysis Process data collation
  • 45.
  • 46.
    Data accuracy Don’tcollect unnecessary data The questions to be answered should be decided in advance and the required data identified Tell people why the data is being collected It should not be part of personnel evaluation Don’t rely on memory Collect data when it is generated not after a project has finished
  • 47.
    A quality metricshould be a predictor of product quality Classes of product metric Dynamic metrics which are collected by measurements made of a program in execution Static metrics which are collected by measurements made of the system representations Dynamic metrics help assess efficiency and reliability; static metrics help assess complexity, understandability and maintainability Product metrics
  • 48.
    Dynamic and staticmetrics Dynamic metrics are closely related to software quality attributes It is relatively easy to measure the response time of a system (performance attribute) or the number of failures (reliability attribute) Static metrics have an indirect relationship with quality attributes You need to try and derive a relationship between these metrics and properties such as complexity, understandability and maintainability
  • 49.
  • 50.
  • 51.
    Measurement analysis Itis not always obvious what data means Analysing collected data is very difficult Professional statisticians should be consulted if available Data analysis must take local circumstances into account
  • 52.
    Measurement surprises Reducingthe number of faults in a program leads to an increased number of help desk calls The program is now thought of as more reliable and so has a wider more diverse market. The percentage of users who call the help desk may have decreased but the total may increase A more reliable system is used in a different way from a system where users work around the faults. This leads to more help desk calls
  • 53.
    Key points Softwarequality management is concerned with ensuring that software meets its required standards Quality assurance procedures should be documented in an organisational quality manual Software standards are an encapsulation of best practice Reviews are the most widely used approach for assessing software quality
  • 54.
    Key points Softwaremeasurement gathers information about both the software process and the software product Product quality metrics should be used to identify potentially problematical components There are no standardised and universally applicable software metrics