Fetching the paper…
Reading the bibliography…
About 32% of a software practitioners' day involves seeking and using information to support task completion.
Collaboration, Information Seeking and Communication: An Observational Study of Software Developers’ Work Practices
Márcio Kuroki Gonçalves, Cleidson RB de Souza, and Víctor M González. 2011 · 1930
Earlier work this paper cites.
Human memory
Richard C Atkinson and Richard M Shiffrin. 1968 · 1968
Earlier work this paper cites.
Creating false memories: Remembering words not presented in lists
Henry L Roediger and Kathleen B McDermott. 1995 · 1995
Earlier work this paper cites.
Constant capacity in an immediate serial-recall task: A logical sequel to Miller (1956)
Nelson Cowan, Zhijian Chen, and Jeffrey N Rouder. 2004 · 2004
Earlier work this paper cites.
How many interviews are enough? An experiment with data saturation and variability
Greg Guest, Arwen Bunce, and Laura Johnson. 2006 · 2006
Earlier work this paper cites.
Information needs in collocated software development teams. In 29th International Conference on Software Engineering (ICSE’07) . IEEE, 344–353
Amy J Ko, Robert DeLine, and Gina Venolia. 2007 · 2007
Earlier work this paper cites.
Novice software developers, all over again. In Proceedings of the fourth international workshop on computing education research . 3–14
Andrew Begel and Beth Simon. 2008 · 2008
Earlier work this paper cites.
Two studies of opportunistic programming: interleaving web foraging, learning, and writing code. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems . 1589–1598
Joel Brandt, Philip J Guo, Joel Lewenstein, Mira Dontcheva, and Scott R Klemmer. 2009 · 2009
Earlier work this paper cites.
Information needs in bug reports: improving cooperation between developers and users. In Proceedings of the 2010 ACM conference on Computer supported cooperative work . 301–310
Silvia Breu, Rahul Premraj, Jonathan Sillito, and Thomas Zimmermann. 2010 · 2010
Earlier work this paper cites.
Using information fragments to answer the questions developers ask. In Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering-Volume 1 . 175–184
Thomas Fritz and Gail C Murphy. 2010 · 2010
Earlier work this paper cites.
Hard-to-answer questions about code
Thomas D LaToza and Brad A Myers. 2010 · 2010
Earlier work this paper cites.
Using numbers in qualitative research
Joseph A Maxwell. 2010 · 2010
Earlier work this paper cites.
Deliberate practice: Necessary but not sufficient
Guillermo Campitelli and Fernand Gobet. 2011 · 2011
Earlier work this paper cites.
Consciousness and the prefrontal parietal network: insights from attention, working memory, and chunking
Daniel Bor and Anil K Seth. 2012 · 2012
Earlier work this paper cites.
Information needs for integration decisions in the release process of large-scale parallel development. In Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work . 1371–1380
Shaun Phillips, Guenther Ruhe, and Jonathan Sillito. 2012 · 2012
Cited alongside, same era.
On the coherence of mental models of persons and relationships: A knowledge structure approach
Lynn Carol Miller and Stephen J Read. 2013 · 2013
Cited alongside, same era.
Bespoke tools: adapted to the concepts developers know. In Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering . 878–881
Brittany Johnson, Rahul Pandita, Emerson Murphy-Hill, and Sarah Heckman. 2015 · 2015
Cited alongside, same era.
Disrupting developer productivity one bot at a time. In Proceedings of the 2016 24th ACM SIGSOFT international symposium on foundations of software engineering . 928–931
Margaret-Anne Storey and Alexey Zagalsky. 2016 · 2016
Cited alongside, same era.
Grounded copilot: How programmers interact with code-generating models
Shraddha Barke, Michael B James, and Nadia Polikarpova. 2023 · 2023
Later among the works it cites.
Make your tools sparkle with trust: The PICSE framework for trust in software tools. In 2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) . IEEE, 409–419
Brittany Johnson, Christian Bird, Denae Ford, Nicole Forsgren, and Thomas Zimmermann. 2023 · 2023
Later among the works it cites.
The impact of ai on developer productivity: Evidence from github copilot
Sida Peng, Eirini Kalliamvakou, Peter Cihon, and Mert Demirer. 2023 · 2023
Later among the works it cites.
Methodology | 2024 Stack Overflow Developer Survey — survey.stackoverflow.co
[n. d.] · 2024
Closest in time.
Programming education and learner motivation in the age of generative AI: student and educator perspectives
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Characterizing software engineering work with personas based on knowledge worker actions. In 2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) . IEEE, 394–403
Denae Ford, Tom Zimmermann, Christian Bird, and Nachiappan Nagappan. 2017 · 2017
Cited alongside, same era.
What constitutes a good qualitative research study? Fundamental dimensions and indicators of rigour in qualitative research: The TACT framework. In Proceedings of the European conference of research methods for business & management studies . 101–108
Ben K Daniel. 2019 · 2019
Cited alongside, same era.
Today was a good day: The daily life of software developers
André N Meyer, Earl T Barr, Christian Bird, and Thomas Zimmermann. 2019 · 2019
Cited alongside, same era.
Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al · 2020
Cited alongside, same era.
What distinguishes great software engineers?
Paul Luo Li, Amy J Ko, and Andrew Begel. 2020 · 2020
Cited alongside, same era.
Ensuring survey research data integrity in the era of internet bots
Marybec Griffin, Richard J Martino, Caleb LoSchiavo, Camilla Comer-Carruthers, Kristen D Krause, Christopher B Stults, and Perry N Halkitis. 2021 · 2021
Cited alongside, same era.
Api-related developer information needs in stack overflow
Mingwei Liu, Xin Peng, Andrian Marcus, Shuangshuang Xing, Christoph Treude, and Chengyuan Zhao. 2021 · 2021
Cited alongside, same era.
Taking Flight with Copilot: Early insights and opportunities of AI-powered pair-programming tools
Christian Bird, Denae Ford, Thomas Zimmermann, Nicole Forsgren, Eirini Kalliamvakou, Travis Lowdermilk, and Idan Gazit. 2022 · 2022
Cited alongside, same era.
Samuel Boguslawski, Rowan Deer, and Mark G Dawson. 2024 · 2024
Closest in time.
“It would work for me too”: How Online Communities Shape Software Developers’ Trust in AI-Powered Code Generation Tools
Ruijia Cheng, Ruotong Wang, Thomas Zimmermann, and Denae Ford. 2024 · 2024
Closest in time.
Unleashing the Future: A Deep Dive into AI-Enhanced Productivity for Developers
Saikrishna Chinthapatla. 2024 · 2024
Closest in time.
The Role of Generative AI in Software Development Productivity: A Pilot Case Study. In Proceedings of the 1st ACM International Conference on AI-Powered Software . 131–138
Mariana Coutinho, Lorena Marques, Anderson Santos, Marcio Dahia, Cesar França, and Ronnie de Souza Santos. 2024 · 2024
Closest in time.
A large-scale survey on the usability of ai programming assistants: Successes and challenges. In Proceedings of the 46th IEEE/ACM International Conference on Software Engineering . 1–13
Jenny T Liang, Chenyang Yang, and Brad A Myers. 2024 · 2024
Closest in time.
Navigating the complexity of generative ai adoption in software engineering
Daniel Russo. 2024 · 2024
Closest in time.
Opening Up The Workplace: The Way Ai Tools Are Changing Productivity
Tran Minh Tung. 2024 · 2024
Closest in time.
Methods and technologies for supporting knowledge sharing within learning communities: A systematic literature review
Majid Zamiri and Ali Esmaeili. 2024 · 2024
Closest in time.
Supplementary Materials
Anonymous. 2025 · 2025
Closest in time.