This article analyzes data on duration and effort, providing insights into the time savings and labor costs associated with each approach. https://hackernoon.com/solo-vs-pair-programming-a-data-driven-comparison #pairprogramming

This article analyzes data on duration and effort, providing insights into the time savings and labor costs associated with each approach. https://hackernoon.com/solo-vs-pair-programming-a-data-driven-comparison #pairprogramming
Explore the ANOVA results for a pair programming experiment, specifically analyzing the duration of tasks. https://hackernoon.com/is-pair-programming-faster-an-anova-analysis #pairprogramming
Learn how to use Analysis of Variance (ANOVA) to test hypotheses in a software engineering experiment. https://hackernoon.com/understanding-anova-for-pair-programming-experiments #pairprogramming
This article explains how to test for independence, homogeneity of variance, and normality in a pair programming study https://hackernoon.com/homogeneity-and-normality-how-to-test-your-experimental-data #pairprogramming
This article details the selection of participants, the programming tasks (calculator, encoder), and the use of different tools (IDE vs. text editor) https://hackernoon.com/the-role-of-tool-support-in-a-pair-programming-study #pairprogramming
This article explains how the Latin Square Design experiment was conducted within an academic context. https://hackernoon.com/how-to-conduct-a-controlled-experiment-in-software-engineering #pairprogramming
Explore the design of a student-led experiment on pair programming, which used a Latin Square design to test hypotheses about duration and effort. https://hackernoon.com/latin-square-design-a-guide-to-its-use-in-software-engineering-experiments #pairprogramming
Learn how to define a software engineering experiment using the Goal-Question-Metric (GQM) framework. https://hackernoon.com/experiment-design-a-guide-to-the-goal-question-metric-approach #pairprogramming
Explore the results of a student-led experiment on pair programming that measured its impact on task duration and effort. https://hackernoon.com/the-science-behind-pair-programming-a-uady-experiment #pairprogramming
Dive deeper into the world of pair programming with this list of key academic papers and resources. Explore foundational research on pair programming https://hackernoon.com/further-your-knowledge-on-pair-programming-with-these-resources #pairprogramming
Skilled pair programming goes beyond just coding together. This summary outlines three key anti-patterns https://hackernoon.com/expediency-and-togetherness-the-core-of-skilled-pair-programming #pairprogramming
Does pair programming skill come from experience? This discussion explores why new developers can excel at pairing while veterans sometimes struggle, https://hackernoon.com/pair-programming-proficiency-is-it-about-experience-or-something-else #pairprogramming
Skilled pair programmers know how to avoid common anti-patterns like Getting Lost in the Weeds, Losing the Partner, and Drowning the Partner. https://hackernoon.com/beyond-anti-patterns-how-skilled-pairs-stay-on-track #pairprogramming
Drowning the Partner is a pair programming anti-pattern where one developer overwhelms the other with excessive, unnecessary explanations. https://hackernoon.com/pair-programming-when-explanations-go-too-far #pairprogramming
Losing the Partner is a common anti-pattern in pair programming where one developer neglects their teammate, creating a knowledge gap and reducing collaboration https://hackernoon.com/pair-programming-how-to-avoid-losing-the-partner #pairprogramming
Getting lost in the weeds is a common anti-pattern in pair programming where developers get sidetracked by irrelevant details, hurting productivity. https://hackernoon.com/avoid-getting-lost-in-the-weeds-in-your-dev-pairings #pairprogramming
This section outlines the key skills that define successful pair programming. https://hackernoon.com/the-core-skills-of-pair-programming-togetherness-and-expediency #pairprogramming
The study's focus is on real-world, practical puzzles in pair programming. It uses a deficit-oriented perspective to analyze what causes frustration https://hackernoon.com/solving-practical-puzzles-a-qualitative-look-at-pair-programming-challenges #pairprogramming
This section describes the research method that analyzes industrial pair programming sessions with developers ranging from novices to experts. https://hackernoon.com/from-data-to-theory-a-qualitative-study-of-pair-programming-expertise #pairprogramming
Trying to understand the core elements of pair programming skills. This paper aims to provide actionable advice for developers and practitioners https://hackernoon.com/going-deeper-analyzing-multimodal-data-for-pair-programming-insight #pairprogramming