lecture 2 people, process, product, project cs 540 – quantitative software engineering

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Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

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Page 1: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Lecture 2 People, Process, Product, Project

CS 540 – Quantitative Software Engineering

Page 2: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

People

Software Trustworthiness depends on people:

I propose that customers insist that software products identify a Software Architect and Software Project Manager in their contracts

Page 3: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Software Architect:

Affirms that the software product solves the customer’s problem

Affirms that the software product is suitably reliable, easy-to-use, extendible, not harmful and robust. That it is trustworthy.

Affirms that the requirements are valid.

Page 4: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Software Project Manager:

Affirms that the software was successfully tested against the requirements.

Affirms and identifies the good software engineering processes were used in the software development and integration.

Affirms that the project is within budget, on-time and performs satisfactorily.

Page 5: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

0

2

4

6

8

10

20 80 320 1280 10240 40960

Function Points

Bell Laboratories data

Capers Jones data

Prod

uctiv

ity (F

unct

ion

poin

ts /

staf

f mon

th)

Productivity as a function of project size

Page 6: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Productivity = f (people, system nature, customer relations, capital investment)

Productivity

Page 7: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

20:1 difference between people but ‘masters’ are just 1% of the programming population.

Code ownership with only one developer making module changes; apprentice permitted.

Source module size ranges from 20 to 40 new function points. Smaller modules carry too much overhead; larger modules become too big for people to understand.

Production module size is constrained only by the execution environment.

People 20:1

Page 8: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

If report generation software = 1, then• On-line software = 5, and

• Communications or real-time software = 10.

10:5:1 is the degree of difficulty or complexity which impacts productivity.

System Nature 10:5:1

Page 9: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Projects that team with customers are twice as productive as those that have contracts

Prototypes build customer relations and increase productivity.

Customer Relations 2:1

Page 10: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

3

15

3037.5

47

75

113142

475638

81

1

10

100

1000

1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005

ExpansionFactor

TechnologyChange:

RegressionTesting

4GL Small ScaleReuse

MachineInstructions

High LevelLanguages

MacroAssemblers

DatabaseManagers

On-LineDev

Prototyping SubsecTimeSharing

ObjectOrientedProgramming

Large ScaleReuse

Order of MagnitudeEvery Twenty Years

Each date is an estimate of widespread use of a software technology

The ratio ofSource line of code to a machine level line of code

Trends in Software Expansion

Page 11: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

100:1 improvement every 20 years measured by the expansion factor

OOT coming with 3:1 potential Objects in the large, and 80% reuse by turn

of the century

Capital Investment

Page 12: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Agile software development

Page 13: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Business needs of agile software development

Because of rapidly changing business environments, businesses have to respond to new opportunities and competition fast.

Businesses may be willing to accept lower quality software if rapid delivery of essential functionality is possible.

Page 14: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Technologies used in agile development

.NET and J2EE Web Design Visual Basic Databases

Page 15: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Agile and requirements

Because of the changing environment, it is often impossible to arrive at a stable, consistent set of system requirements before development starts.

Therefore a waterfall model of development is impractical and an approach to development based on iterative specification and delivery is the only way to deliver software quickly.

Page 16: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Challenges for Agile requirements

How do you capture sufficient requirements to make developers productive without burying them in documentation? 

How do you provide designers with requirements early enough to impact design, without delaying implementation? 

What techniques can we use to prioritize requirements so we can fulfill the right mix of strategic, tactical and operational priorities? 

Can light methods incorporate all the needed requirements, specification and design efforts without becoming heavy and slow?

Page 17: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Agile processes

The processes of specification, design and implementation are concurrent. There is no detailed specification and design documentation is minimized.

The system is developed in a series of increments. End users evaluate each increment and make proposals for later increments.

System user interfaces are usually developed using an interactive development system.

Page 18: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Iterative development process

Define system deliverables

Integrate increment

Define system deliverables

Specify system increment

Build systemincrement

Validate increment

Validate systemDone?

No

Deliver systemYes

Page 19: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Advantages of incremental development

Accelerated delivery of customer services. Each increment delivers the highest priority functionality to the customer.

User engagement with the system. Users have to be involved in the development which means the system is more likely to meet their requirements and the users are more committed to the system.

Page 20: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Downside of incremental development

Management problems • Progress can be hard to judge and problems hard to find because there is no

documentation to demonstrate what has been done. Contractual problems

• The normal contract may include a specification; without a specification, different forms of contract have to be used.

Validation problems• Without a specification, what is the system being tested against?

Maintenance problems• Continual change tends to corrupt software structure making it more expensive to

change and evolve to meet new requirements.

Page 21: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Agile methods

Dissatisfaction with the overheads involved in design methods led to the creation of agile methods. These methods: Focus on the code rather than the design; Are based on an iterative approach to software development; Are intended to deliver working software quickly and evolve this

quickly to meet changing requirements.

Agile methods are probably best suited to small/medium-sized business systems or PC products.

Page 22: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Project Managers’ dealing with Agile teams

What are the key criteria that support effective decision making? 

What untapped sources of information can be leveraged to shed new light on the problem? 

What are the organizational processes that lead to decisions, and how can they be optimized? 

Who are the players that need to be involved in the decision making process? 

To what extent can decisions be automated, and where do people need to step in to make judgment calls?

Page 23: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Principles of agile processes

Principle Description

Customer involvement The customer should be closely involved throughout the development process. Their role is provide and prioritise new system requirements and to evaluate the iterations of the system.

Incremental delivery The software is developed in increments with the customer specifying the requirements to be included in each increment.

People not process The skills of the development team should be recognised and exploited. The team should be left to develop their own ways of working without prescriptive processes.

Embrace change Expect the system requirements to change and design the system so that it can accommodate these changes.

Maintain simplicity Focus on simplicity in both the software being developed and in the development process used. Wherever possible, actively work to eliminate complexity from the system.

Page 24: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Problems with agile processes

It can be difficult to keep the interest of customers who are involved in the process.

Team members may be unsuited to the intense involvement that characterises agile methods.

Prioritising changes can be difficult where there are multiple stakeholders.

Maintaining simplicity requires extra work. Contracts may be a problem as with other approaches to

iterative development.

Page 25: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Extreme programming (XP)

Perhaps the best-known and most widely used agile method.

XP takes an ‘extreme’ approach to iterative development. New versions may be built several times per day; Increments are delivered to customers every 2 weeks; All tests must be run for every build and the build is only

accepted if tests run successfully.

Page 26: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

The XP release cycle

Break downstories to tasks

Select userstories for this

releasePlan release

Releasesoftware

Evaluatesystem

Develop/integratetest software

Page 27: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

XP details

Incremental planning Requirements are recorded on Story Cards and the Stories to beincluded in a release are determined by the time available andtheir relative priority. The developers break these Stories intodevelopment tasks .

Small Releases The minimal useful set of functionality that provides businessvalue is developed first. Releases of the system are frequent andincrementally add functionality to the first release.

Simple Design Enough design is carried out to meet the current requirementsand no more.

Test first development An automated unit test framework is used to write tests for a newpiece of functionality before that functionality itself isimplemented.

Refactoring All developers are expected to refactor the code continuously assoon as possible code improvements are found. This keeps thecode simple and maintainable.

Page 28: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

XP processes

Pair Programming Developers work in pairs, checking each otherÕs work andproviding the support to always do a good job.

Collective Ownership The pairs of developers work on all areas of the system, so thatno islands of expertise develop and all the developers own all thecode. Anyone can change anything.

Continuous Integration As soon as work on a task is complete it is integrated into thewhole system. After any such integration, all the unit tests in thesystem must pass.

Sustainable pace Large amounts of over-time are not considered acceptable as thenet effect is often to reduce code quality and medium termproductivity

On-site Customer A representative of the end-user of the system (the Customer)should be available full time for the use of the XP team. In anextreme programming process, the customer is a member of thedevelopment team and is responsible for bringing systemrequirements to the team for implementation.

Page 29: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

XP invokes agile principles

Incremental development is supported through small, frequent system releases.

Customer involvement means full-time customer engagement with the team.

People not process through pair programming, collective ownership and a process that avoids long working hours.

Change supported through regular system releases. Maintaining simplicity through constant refactoring of

code.

Page 30: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

XP requirements evolution

User requirements are expressed as scenarios or user stories.

These are written on cards and the development team break them down into implementation tasks. These tasks are the basis of schedule and cost estimates.

The customer chooses the stories for inclusion in the next release based on their priorities and the schedule estimates.

Page 31: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Story card case study

Case: Downloading and printing an article

First, you select the article that you want from a displayed list. Youthen have to tell the system how you will pay for it - this can eitherbe through a subscription, through a company account or by creditcard.

After this, you get a copyright form from the system to fill in and,when you have submitted this, the article you want is downloadedonto your computer.

You then choose a printer and a copy of the article is printed. Youtell the system if printing has been successful.

If the article is a print-only article, you canÕt keep the PDF versionso it is automatically deleted from your computer.

Page 32: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Task cards for document downloading

Task 1: Implement principal workflow

Task 2: Implement article catalog and selection

Task 3: Implement payment collection

Payment may be made in 3 diffferent ways. The userselects which way they wish to pay. If the userhas a library subscription, then they can input thesubscriber key which should be checked by thesystem. Alternatively, they can input an organizationalaccount number. If this is valid, a debit of the costof the article is posted to this account. Finally, theymay input a 16 digit credit card number and expirydate. This should be checked for validity and, ifvalid a debit is posted to that credit card account.

Page 33: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Test case

Test 4: Test credit card validity

Input:A string representing the credit card number and two integers representingthe month and year when the card expiresTests:Check that all bytes in the string are digitsCheck that the month lies between 1 and 12 and theyear is greater than or equal to the current year.Using the first 4 digits of the credit card number,check that the card issuer is valid by looking up thecard issuer table. Check credit card validity by submitting the cardnumber and expiry date information to the cardissuerOutput:OK or error message indicating that the card is invalid

Page 34: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

XP embraces change

Conventional wisdom in software engineering is to design for change. It is worth spending time and effort anticipating changes as this reduces costs later in the life cycle.

XP, however, maintains that this is not worthwhile as changes cannot be reliably anticipated.Rather, it proposes constant code improvement (refactoring) to make changes easier when they have to be implemented.

Page 35: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

XP tests first

Test-first development. Incremental test development from scenarios. User involvement in test development and

validation. Automated test harnesses are used to run all

component tests each time that a new release is built.

Page 36: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Test-first development

Writing tests before code clarifies the requirements to be implemented.

Tests are written as programs rather than data so that they can be executed automatically. The test includes a check that it has executed correctly.

All previous and new tests are automatically run when new functionality is added. Thus checking that the new functionality has not introduced errors.

Page 37: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Pair programming

In XP, programmers work in pairs, sitting together to develop code.

This helps develop common ownership of code and spreads knowledge across the team.

It serves as an informal review process as each line of code is looked at by more than 1 person.

It encourages refactoring as the whole team can benefit from this.

Measurements suggest that development productivity with pair programming is similar to that of two people working independently.

Page 38: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Agile development environment tools

Database programming language Interface generator Links to office applications Report generators

Page 39: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

An agile application development environment

DBprog ramming

langua ge

Inter facegener ator

Officesystems

Repor tgener ator

Database management system

Rapid applicationdevelopment environment

Page 40: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Rapid Application Development (RAD)

Agile methods have received a lot of attention but other approaches to rapid application development have been used for many years.

These are designed to develop data-intensive business applications and rely on programming and presenting information from a database.

Page 41: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Interface generation

Many applications are based around complex forms and developing these forms manually is a time-consuming activity.

RAD environments include support for screen generation including: Interactive form definition using drag and drop techniques; Form linking where the sequence of forms to be presented is specified; Form verification where allowed ranges in form fields is defined.

Page 42: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Visual programming

Scripting languages such as Visual Basic support visual programming where the prototype is developed by creating a user interface from standard items and associating components with these items

A large library of components exists to support this type of development

These may be tailored to suit the specific application requirements

Page 43: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Problems with visual development

Difficult to coordinate team-based development. No explicit system architecture. Complex dependencies between parts of the

program can cause maintainability problems.

Page 44: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Commercial Off-the-Shelf (COTS)

An effective approach to rapid development is to configure and link existing off the shelf systems.

For example, a requirements management system could be built by using: A database to store requirements; A word processor to capture requirements and format reports; A spreadsheet for traceability management;

Page 45: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Unified Modeling Language

Tool for making OOT work Scenario design Class diagrams Sequence diagrams Statecharts Execution architecture

Page 46: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Class Diagram

Assign

TN

CentralOffice

Location

LineNumber

Equipment

Area CodeIXC

Street Zip

Page 47: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Use Case Diagram

RequestService

Provision Service

InstallEquipmentas Needed

ActivateService

Bill forService

Page 48: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

AProgram

X3 AProgramming

System

(SystemIntegration)X3

AProgramming

Product

(Generalization, Testing

Documentation, Maintenance)

AProgramming

SystemsProduct

FromThe Mythical Man-MonthF.P. Brooks, Jr.

Program to Product

Page 49: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Top Ten Software Risks

Right People Tight Schedule Large Project Hard to Use Gold Plating

• Changes• Suppliers• Support Teams• Performance• State-of-the-art

Page 50: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Quality Metrics

Availability Customer reported failures Performance under load Response to the unexpected Risk assessment

Page 51: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Move from technology and processes to platforms.

Platforms are “rules, tools and assets.” Work needs to be mobile; people need to be

stable. Productivity must double with no loss of

system reliability or performance.

Vision

Page 52: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

One common process is not the goal.

Commonly managed processes are possible.

Scalability is essential.

Lessons Learned

Page 53: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

• Move from a culture of minimal change to one of maximal change.

• Move to "make it work, make it work right, make it work better" philosophy through prototyping and delaying code optimization.

• Give test teams the "right of refusal" for any code not reasonably tested by the developers.

Mindset Changes Needed

(Bell Labs circa 1990)

Page 54: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Project planning and control

Appropriate control is THE KEY for the project manager Requires clearly defined authority- ‘golden rule’ 3 types of variables:

• Irregular, cannot be varied, e.g., staffing, • Goal variables, project based not problem based, e.g., quality, time,

costs• Control variables, what you can control

Must be able to measure the progress of the product and the quality and requirements covered in the product

Page 55: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Project Space - van Vliet, p186

Realization Allocation Design Exploration

Product Certainty

HIGH HIGH HIGH LOW

Process Certainty

HIGH HIGH LOW LOW

Resource Certainty

HIGH LOW LOW LOW

Waterfall Proto

Page 56: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Again, the top 10 risk factors

Personnel shortfall Unrealistic schedule or

budget Wrong functionality Wrong user interface Gold plating (fun and

games)

Requirements volatility Bad external components Bad external tasks

(subcontracts) Real time shortfalls Capability shortfall

(bleeding edge)

Page 57: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Processes for Project Planning

Work breakdown structure, tasks into subtasks with constraints

Beware of over and under analysis Beware of diffuse responsibility Gantt chart - Microsoft project (does not reflect

all dependencies between activities) Identify critical path activities –PERT Sensitivity analysis - “what if” questions Also informal methods -- milestones

Page 58: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Simplified Model

PROBLEMReqts Spec & Test Plan

Tech Spec

Code

SystemReqts Eng

Desig

n

Implement

Test Main

tain

Page 59: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

Product Views

Different communities require different perspectives:

Business Description of business aspects- business rules

Customer, management, marketing

Information Information needed for tasks Same as business

Functionality External behavior of system End users, db admin, general OA&M …

Implementation Internal functioning of system Developers,maintenance

Page 60: Lecture 2 People, Process, Product, Project CS 540 – Quantitative Software Engineering

The most important outcome ofproduct definition … a team of stakeholders with enough trust and shared vision …”TSQSE, p.85

NOT EASY!

COMMUNICATION is vital