A

AAUW (American Association of University Women), Biases, Stereotypes, and the Role of Male Computer-Science Culture

ability deficits, women and, Evidence for deficits in female mathematical-spatial abilities–Evidence for deficits in female mathematical-spatial abilities

ABS (Arch Build System), Measuring the Source Code

Abstract Factory pattern, Design Pattern Examples, The Second Experiment: Comparing Pattern Solutions to Simpler Ones

abstract syntax trees (ASTs), Detecting Clones in Software

Acceptance-Test-Driven Development (ATDD), The TDD Pill—What Is It?

ACM, Why Is It So Hard to Learn to Program?, Conclusion: A Fledgling Field

International Computing Education Research workshop, Conclusion: A Fledgling Field

SIGCSE Symposium, Why Is It So Hard to Learn to Program?

Ada Process Model, The Architecture and Risk Resolution Factor in Ada COCOMO and COCOMO II–Architecture and risk resolution (RESL) factor in COCOMO II

Adams, R., Should We Care?

Adaptive Behavior and Cognition research group, A Broader View of Intelligence

Agile methods, Agile Methods, Agile Methods, Dybå and Dingsøyr, Dybå and Dingsøyr, Does the Cost of Fixing Software Increase over the Project Life Cycle?, Cost-to-Fix Growth Evidence, Does the Architecting Need to Be Done Up Front?, How Effective Is Test-Driven Development?–Acknowledgments, Are Agile Methods Better for Communication?–Are Agile Methods Better for Communication?, A Communal Workshop

architecting and, Does the Architecting Need to Be Done Up Front?

best-known approaches, Agile Methods, Agile Methods

communal workshops and, A Communal Workshop

communication and, Are Agile Methods Better for Communication?–Are Agile Methods Better for Communication?

cost of change and, Does the Cost of Fixing Software Increase over the Project Life Cycle?, Cost-to-Fix Growth Evidence

Dybå and Dingsøyr studies, Dybå and Dingsøyr, Dybå and Dingsøyr

Test-Driven Development, How Effective Is Test-Driven Development?–Acknowledgments

Ahern, K., Should We Care?

AI (Artificial Intelligence), The Effect of Context

Aldrin, Magne, Acknowledgments

Altabari, Nadja, Acknowledgments

Amazon.com, Not All Bug Reports Get Fixed

American Association of University Women (AAUW), Biases, Stereotypes, and the Role of Male Computer-Science Culture

analytical intelligence, A Broader View of Intelligence

And-Or-Tree data structure, Design of the Experiment–Results

Anderson, Lew G., Acknowledgments

Antman, E. M., An Overview of Systematic Reviews

AOP (aspect-oriented programming), Fitness for Purpose, or Why What Convinces You Might Not Convince Me, How Effective Is Modularization?

Apache Portable Runtime (APR), Forking

APIs, Templating, Why Is It Important to Study API Usability?–Why Is It Important to Study API Usability?, First Attempts at Studying API Usability–Cognitive Dimensions, Study Design–Study Design, Summary of Findings from the First Study, Design of the Second Study, Summary of Findings from the Second Study–Summary of Findings from the Second Study, Adapting to Different Work Styles–Scenario-Based Design

adapting to work styles, Adapting to Different Work Styles–Scenario-Based Design

study design, Study Design–Study Design, Design of the Second Study

study findings, Summary of Findings from the First Study, Summary of Findings from the Second Study–Summary of Findings from the Second Study

templating, Templating

usability study attempts, First Attempts at Studying API Usability–Cognitive Dimensions

usability study importance, Why Is It Important to Study API Usability?–Why Is It Important to Study API Usability?

application walkthroughs, Means of prevention–Means of prevention, Underlying causes and means of prevention, What Have We Learned?

Aranda, Jorge, A Communal Workshop or Doors That Close?–One More Thing…

Arch Build System (ABS), Measuring the Source Code

architecting, Architecting: How Much and When?, Does the Cost of Fixing Software Increase over the Project Life Cycle?, Cost-to-Fix Growth Evidence–Cost-to-Fix Growth Evidence, Using What We Can Learn from Cost-to-Fix Data About the Value of Architecting–ROI for Software Systems Engineering Improvement Investments, Reducing software rework via architecture and risk resolution, Reducing software rework via architecture and risk resolution, So How Much Architecting Is Enough?–So How Much Architecting Is Enough?, Does the Architecting Need to Be Done Up Front?, Does the Architecting Need to Be Done Up Front?

cost-to-fix considerations, Does the Cost of Fixing Software Increase over the Project Life Cycle?, Cost-to-Fix Growth Evidence–Cost-to-Fix Growth Evidence

COTS products and, Does the Architecting Need to Be Done Up Front?

defined, Architecting: How Much and When?

determining investment level, So How Much Architecting Is Enough?–So How Much Architecting Is Enough?

determining value of, Using What We Can Learn from Cost-to-Fix Data About the Value of Architecting–ROI for Software Systems Engineering Improvement Investments

reducing software rework, Reducing software rework via architecture and risk resolution, Reducing software rework via architecture and risk resolution

refactoring, Does the Architecting Need to Be Done Up Front?

ArchLinux software distribution, Measuring the Source Code, Statistical Analysis

Arisholm, Erik, Hannay, Dybå, Arisholm, and Sjøberg, Acknowledgments

Armstrong, J. S., Challenges to Statistical Strength

artifact size, comparing, Comparing Artifact Size

Artificial Intelligence (AI), The Effect of Context

artificial language, What Do People Understand Naturally About Programming?

aspect-oriented programming (AOP), Fitness for Purpose, or Why What Convinces You Might Not Convince Me, How Effective Is Modularization?

AspectJ programming language, How Effective Is Modularization?

Aspray, W., Biases, Stereotypes, and the Role of Male Computer-Science Culture

ASTs (abstract syntax trees), Detecting Clones in Software

AT&T, Fault Distribution–Characteristics of Faulty Files, Overview of the Prediction Model, Overview of the Prediction Model, Replication and Variations of the Prediction Model–Predicting Faults with Other Types of Models, Building a Tool, The Warning Label–The Warning Label, The Battlefield

building defect predictor tool, Building a Tool

model replication/variations, Replication and Variations of the Prediction Model–Predicting Faults with Other Types of Models

operating system study, The Battlefield

predication model overview, Overview of the Prediction Model, Overview of the Prediction Model

prediction model warnings, The Warning Label–The Warning Label

study overview, Fault Distribution–Characteristics of Faulty Files

ATDD (Acceptance-Test-Driven Development), The TDD Pill—What Is It?

ATL Server API, First Attempts at Studying API Usability, Study Design–Study Design, Scenario-Based Design

background, First Attempts at Studying API Usability

study design, Study Design–Study Design, Scenario-Based Design

Augustine, Norm, Individual Productivity Variation in Software Development, Extremes in Individual Variation on the Bad Side

Aulke, Gaylord, Plat_Forms: Web Development Technologies and Cultures

AWE (A Wonderfulnew Excitement), Types of Evidence and Their Strengths and Weaknesses, Surveys