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Metrics and Metrics and Databases for Databases for Agile Software Agile Software Development Development Projects Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010
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Page 1: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

Metrics and Databases Metrics and Databases for Agile Software for Agile Software

Development ProjectsDevelopment Projects

David I. Heimann

IEEE Boston Reliability SocietyApril 14, 2010

Page 2: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

Based on the paper Based on the paper

A Bipartite Empirically-Oriented Metrics Process For Agile Software Development

byDavid Heimann, Peter Hennessey and Ashok

Tripathi

appearing in ASQ Software Quality Professional;

Vol. 9, No. 2, 2007

Page 3: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

Agile Methodologies

Rapid development of small timeboxed subproducts of overall system

Iterative development Quick responsiveness to changing

requirements and customer needs

Page 4: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

Metrics

Identifying, obtaining data for, computing, and using quantitative values to evaluate development performance

Key to identifying key goals and progress towards them

Key for stable, coordinated, and reliable development

Page 5: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

However…

Agile processes emphasize individual interactions over processes, and software over documentation

This can lead to a deficiency of metrics to allow for a stable and coordinated development framework

Page 6: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

The Bipartite ApproachThe Bipartite Approach

Page 7: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

Bipartite Approach

Agile development features two environments:– Development team– Project coordination and management

Approach – Keep metrics activity to a minimum within the team, but a significant activity within project management

Page 8: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.
Page 9: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

Metrics for Teams

Goals– Address specific components being developed– Focus on the short term (up to 30 days)– Focus on specific requirements

Page 10: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

Metrics for Teams

Questions– What have we accomplished thus far?– Are we on schedule?– What inputs/outputs with other components do

we need to address?– Do our tests cover code and functionality?– How is our testing proceeding?

Page 11: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

Metrics for Teams

Features– Small and simple configuration management systems– Simple database for documentation and related

artifacts– Easily accessible list of requirements– Easily accessible schedule– Test-bank repository– Simple bulletin board or collaboration software

Page 12: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

Metrics for Project

Goals– Keep up with ever-changing requirements– Allow new and changed requirements to be

easily translated into specific tasks for teams– Emphasize interactions among components– Consider customers and stakeholders– Focus on entire development life cycle

Page 13: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

Metrics for Project

Questions– How have requirements changed and are we keeping

up?– What tasks have been distributed to teams, and what

tasks have been accomplished?– Have all interactions been accounted for?– How is our product matching up to customer or

market expectations?– Does software possess systemic integrity and fitness

for customer delivery?

Page 14: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

Metrics for Project

Features– Distributed repository system– High-level configuration management system

featuring tracking of parallel and mutually dependent applications and interfaces

– Complete requirements, documentation, team-coordination databases

– Overall schedules and team assignments– Collaborative bulletin board system

Page 15: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

Implementation at Implementation at BrooksBrooks

Page 16: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

Brooks Agile Development Process (ADP)

Requirements specified in terms of stories.– Encapsulated item of functionality– Easily communicated and validated with

customers and related stakeholders– Implemented in no more than 2 person-weeks

of development effort

Page 17: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

Brooks Agile Development Process (ADP)

Stories are “batched” into a single 6-week cycle, each cycle to be completed by one team in two consecutive 3-week iteration cycles.

On average 5-6 iterations sufficient to supply overall functionality for a release.

Stories scheduled into cycles based on priority, risk, and need for learning and refactoring

Page 18: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

Software DevelopmentProject and

Product Management

Story Writing

Release Planning

Story Elaboration

Iteration Planning

Test Creation

Coding

Unit Test

System Verification

Story Validation

Package

errorerror

Requirements Design & Planning

Con

stru

ctio

n

Verification and Validation

Inventory Queues

Page 19: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

ADP Metrics Goals

1. Project Completion*

2. Level of Quality*

3. Ability to Change (content & priorities)

4. Ability to Integrate (cycle-products into seamless release)

* Addressed in this work

Page 20: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

Sample Questions – Goal 1

What has a team accomplished thus far? How is a team doing compared to its task

commitments? Are we on schedule relative to the current

release backlog? How fast is a team, or project as a whole,

completing story development?

Page 21: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

Sample Metrics – Goal 1

Story points Story size Story risk Velocity Complexity ratio On-Time-Delivery (OTD)

Page 22: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

Issues – Goal 1 Metrics

Contending with moving targets for planning and production

Tracking requirements changes

Page 23: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

Sample Questions – Goal 2

How well does team product, or overall product, fulfill current requirements?

How well does a team’s product pass the QA tests specific to that product?

How well does the completed work pass integration and system test?

Does developed product possess systemic integrity and customer fitness?

Page 24: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

Sample Metrics – Goal 2

Defect rates Found-fixed ratio Weighted quality percentage Weighted quality percentage with

confidence loss

Page 25: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

Issues – Goal 2 Metrics

Timeliness and complexity of testing regimen – “Test First”

Impact of changing requirements on testing.

Page 26: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

ConclusionConclusion

Page 27: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

Summary

Metrics for team should be brief, focused, and short-term

Metrics for project management should be inclusive, encompass the project’s full complexity, and track through the project life

The two metrics areas complement each other. They not only coexist, but both must be present in the metrics design

Page 28: Metrics and Databases for Agile Software Development Projects David I. Heimann IEEE Boston Reliability Society April 14, 2010.

Next Steps

Questions, metrics, and issues for Goals 3 and 4.

Further sophistication in data collection systems for bipartite agile metrics.

Further implementation of process improvements incorporating bipartite approach.


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