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INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009
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INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

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Page 1: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

INCOSE Proprietary InformationLimited Distribution 1

Automated Specification Analysis

Walter Sobkiw

INCOSE Spring 09

April 2, 2009

Page 2: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

Problem Statement

How Can you Create a Clean Useful Specification?

Buzz Words are:Clear, Complete, Consistent, Testable, etc

Page 3: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

Typical Tools

Requirement Management• Automated database oriented tools

Modeling and Simulation• Automated visualization and calculation tools

Requirement Text Authoring• Manual mentors and check lists

Page 4: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

The Idea

Prelim Spec Doc

Spec Review Final Spec

ReportsUpdatesAuthors

PreviouslyManual

Inspections

Page 5: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

Why Do It

Specifications written in natural language• Initial text is rarely perfect

Everyone relies on specification text• Users, designers, testers, vendors, policy makers

Inspections used for surfacing defects, but• Time consuming, costly, only some defects found

Inspections may not even be performed• Fear of findings, not sure how to proceed once

surfaced

Page 6: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

Why Do It

Over 50% software defects are reqs problems• Source: CMU SEI QuARS Presentation and James

Martin, INCOSE 21 June 05

Over 80% rework spent on reqs related defects• Source: CMU SEI QuARS Presentation and Dean

Leffingwell, INCOSE 21 June 05

NASA IVV Entry in 2006• Studied the effects of introducing an automated tool

into the specification review process

Page 7: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

Findings

Review time not shortened• Time usually arbitrarily set

• People hunt & peck until bored or exhausted

Tool findings more consistent• Humans tend to miss categories

Tool finds all problems of certain type• Humans tend to miss full sets

Page 8: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

Findings

Humans better finding domain problems• So give humans time to do so

• And let tool excel in its area

More findings when tool is used• Humans + machines complement each other

Page 9: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

The Idea

Prelim Spec Doc

SAT Final Spec

ReportsUpdatesAuthors

PreviouslyManual

Inspections

Lets machines do what they do well• search, count, filter, categorize, profile, visualize

Lets humans do what they do well• creativity, critical thinking, inspiration, intuition

Page 10: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

Introduction toNatural Language Analysis

Lexical Analysis• Uses dictionary words and phrases

• Vague, subjective, imply choice or option

Syntactical Analysis • Relates to the syntax or grammar of the language

• Weak phrases, multiplicity, implicit, under-spec

Statistical Analysis• Statistical properties of language structure and usage

Consistency check• Areas such as units of measure

Page 11: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

Examples

Lexical examples• Ambiguous words: low, bad, clear, easy, efficient, etc.

Syntactical examples• Multiple requirements: use of and / or

• Under-specification: e.g. ‘report’, what kind of report

Statistical Analysis• Count frequency of words , such as ‘strip’

• If 50 times indicates important concept (domain term)

Consistency Check• check units e.g. 5 Hz and 5kHz, 10 ft and 10 meters

Page 12: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

SAT Key Requirements

Open rules visible to everyone• Rules for finding bad requirements text should

NOT be proprietary

Rules should be easy to change and coincident with analysis run• To allow users to quickly tune tool to their

domain and adjust for potential false finding

Page 13: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

SAT Key Requirements

It must be fast, NO overnight runs Encourage on-the-fly analysis Let users tweak rules, look at results,

and press submit button every 30 - 60 seconds

Page 14: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

SAT Key Requirements

Load specs anywhere off network Save results anywhere on network Duplicate previous analysis runs Modify previous runs Convert previous analysis into templates

Page 15: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

SAT Key Requirements

Do not discount power of machine to• Consistently search, count, organize, and

duplicate search-based findings

It is better than using word processor or requirements database tool• To search ad hoc during specification review

Page 16: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

SAT Key Requirements

Let tool reside and run on user computer Offer simple install remove mechanism Let user peer into where tool is located Let user view tool "libraries" using

standard operating system services Use Internet interface and web search

engine experience as stepping off point• permeated our collective experience

Page 17: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

SAT Architecture

Templates

PreviousAnalysis

SAT Engine

Apache Server

WebBrowser

UserDocuments

Services & Rules

SATExports

- Metrics & Results- Excel & HTML

Help

Runs on your computerReturns document text blocksSearch criteria many attributesSearch saved as templatesGrouped by rules & servicesFast 150 pages in 60 seconds

Works Like Internet Search Engine But

Nothing is hiddenUses predefined directories

Encourages directory accessAdd your own directories

Page 18: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

SAT Architecture

Rules grouped into services Services grouped into templates Templates grouped into domain Domains exist

Page 19: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

Services & Rules

Enable and disable services and rules using these display

filters to fit your situation

Page 20: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

Services & Rules

Modify, Delete, Add services and

rules

Page 21: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

Reports

Text Blocks

Metrics

Search Counts

All Words Counts

Settings

Shape

Reading Levels

Page 22: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

SAT Operations

SAT LeadStake Holders

Updated Specs

Reports

Official Reports

1.

2.

Page 23: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

SAT SAT SAT SAT SAT

spec writers

Designers QA Test IV&V

RelatedDocuments

Small 1-10 page

Problem StatementsProject Summaries

Architects

Uncommitted unclear position, do not begin modeling decomposing, designing, implementing until you understand & commit your stakeholders

Surface key Reqs

Consistency, completeness, testability, metrics

Evaluate docs, outline compliance, quality reqs

Specifications

Non Engineering

DomainsStartedHere

NASAStudy

Evolution

Page 24: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

SAT Application

While Writing a Specification During a Peer Review (original purpose) Quality Assurance As Part of Delivery Preparing for Test Ad Hoc Analysis

• Analyze and compare previous systems

• Compare Spec with architecture statements

• Measure requirement coverage

Page 25: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

Questions?

Walter Sobkiw

[email protected]

Page 26: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

Back Up Slides

If you have the time...

Page 27: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

SAT Big Picture

3. TEMPLATES

1. RULES

2. SERVICES

5. DOMAINS

COMMUNICATIONS

DEFENCE

ATC

6. PRECISE LANGUAGE INDUSTRIES

ENGINEERING

GOV REGULATION

LEGAL4. APPLICATION

.

Page 28: INCOSE Proprietary Information Limited Distribution 1 Automated Specification Analysis Walter Sobkiw INCOSE Spring 09 April 2, 2009.

Questions?

Walter Sobkiw

[email protected]