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| Audience/Grade: | College Freshman-College Sophomore |
| Discipline(s): |
Computer Engineering Computer Science Computing Diversity Engineering Diversity General Engineering, Engineering Science Software Engineering |
| Special Topic(s): | |
| Learning Resource Type: |
Reference - Textbook |
| Author(s): |
Laurie Williams Robert Kessler |
| Description: | Groundbreaking book on pair programming. Description: "At face value, pair programming appears to be a simple, straightforward concept. Two programmers work side-by-side at one computer, continuously collaborating on the same design, algorithm, code, and test. If it was as simple as plopping two skilled programmers at one desktop, there would be no need for this book. However, there are people and personalities involved, and these people are accustomed to programming alone. Pair programming offers significant benefits: quality is increased, time is saved, morale is improved, trust and teamwork grow, knowledge is shared, and learning is enhanced. However, before any pair programming can take place, participants have to accept a new way of thinking. In Pair Programming Illuminated, Laurie Williams and Robert Kessler help you fight through the exceptions, gain collective acceptance of this approach, and experience remarkable success with it. Two case studies show pair programming in practice using Extreme Programming and Collaborative Software Process as methods." |
| Rating: |
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| Related Resources | |
| Usage Tip | |
| Intervention(s): |
Think-pair-share |
| Use of Resource: |
Written as instruction for team members and leaders new to pair programming and as an improvement guide for experienced pair programmers Explains both the principles underlying this method and its best practices. |
| Difficulty: |
Medium |
| Interactivity Level: |
Very low |
| Version Info | |
| Publication Date: | September 2007 |
| Platform/Format: |
WWW |
| Cost: |
Free |
| Download URL: | http://www.amazon.com/exec/obidos/ASIN/0201745763/qid=1026758188/ |
| Metadata: |
IEEE LOM Record |
| Collection: |
NEEDS
ACM Women in Computing
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