Hybrid Work meets Agile Software Development: A Systematic Mapping Study

• URL: http://arxiv.org/abs/2404.09983v1
• Date: Mon, 15 Apr 2024 17:57:34 GMT
• Title: Hybrid Work meets Agile Software Development: A Systematic Mapping Study
• Authors: Dron Khanna, Emily Laue Christensen, Saagarika Gosu, Xiaofeng Wang, Maria Paasivaara,
• Abstract summary: We aim to provide a good understanding of this emerging research area. The people-centric nature of agile methods is yet to be adequately reflected in the studies in this area. There is a lack of a richer understanding of hybrid work in terms of flexible work arrangements.
• Score: 9.491344840516222
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Hybrid work, a fusion of different work environments that allow employees to work in and outside their offices, represents a new frontier for agile researchers to explore. However, due to the nascent nature of the research phenomena, we are yet to achieve a good understanding of the research terrain formulated when hybrid work meets agile software development. This systematic mapping study, we aimed to provide a good understanding of this emerging research area. The systematic process we followed led to a collection of 12 primary studies, which is less than what we expected. All the papers are empirical studies, with most of them employing case studies as the research methodology. The people-centric nature of agile methods is yet to be adequately reflected in the studies in this area. Similarly, there is a lack of a richer understanding of hybrid work in terms of flexible work arrangements. Our mapping study identified various research opportunities that can be explored in future research.

Related papers

• ResearchTown: Simulator of Human Research Community [14.033414261636336]
  ResearchTown is a multi-agent framework for research community simulation. ResearchTown can provide a realistic simulation of collaborative research activities. ResearchTown can maintain robust simulation with multiple researchers and diverse papers.
  arXiv  Detail & Related papers  (2024-12-23T18:26:53Z)
• Enhancing LLM Reasoning with Reward-guided Tree Search [95.06503095273395]
  o1-like reasoning approach is challenging, and researchers have been making various attempts to advance this open area of research. We present a preliminary exploration into enhancing the reasoning abilities of LLMs through reward-guided tree search algorithms.
  arXiv  Detail & Related papers  (2024-11-18T16:15:17Z)
• Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents [64.64280477958283]
  An exponential increase in scientific literature makes it challenging for researchers to stay current with recent advances and identify meaningful research directions. Recent developments in large language models(LLMs) suggest a promising avenue for automating the generation of novel research ideas. We propose a Chain-of-Ideas(CoI) agent, an LLM-based agent that organizes relevant literature in a chain structure to effectively mirror the progressive development in a research domain.
  arXiv  Detail & Related papers  (2024-10-17T03:26:37Z)
• Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System [62.832818186789545]
  Virtual Scientists (VirSci) is a multi-agent system designed to mimic the teamwork inherent in scientific research. VirSci organizes a team of agents to collaboratively generate, evaluate, and refine research ideas. We show that this multi-agent approach outperforms the state-of-the-art method in producing novel scientific ideas.
  arXiv  Detail & Related papers  (2024-10-12T07:16:22Z)
• Teaching Research Design in Software Engineering [1.9659095632676098]
  Empirical Software Engineering (ESE) has emerged as a contending force aiming to critically evaluate and provide knowledge that informs practice in adopting new technologies. This chapter teaches foundational skills in research design, essential for educating software engineers and researchers in ESE.
  arXiv  Detail & Related papers  (2024-07-06T21:06:13Z)
• ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models [56.08917291606421]
  ResearchAgent is an AI-based system for ideation and operationalization of novel work. ResearchAgent automatically defines novel problems, proposes methods and designs experiments, while iteratively refining them. We experimentally validate our ResearchAgent on scientific publications across multiple disciplines.
  arXiv  Detail & Related papers  (2024-04-11T13:36:29Z)
• Guiding Principles for Using Mixed Methods Research in Software Engineering [51.22583433491887]
  Mixed methods research is often used in software engineering, but researchers outside of the social or human sciences often lack experience when using these designs. This paper provides guiding principles and advice on how to design mixed method research.
  arXiv  Detail & Related papers  (2024-04-09T04:34:25Z)
• A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond [84.95530356322621]
  This survey presents a systematic review of the advancements in code intelligence. It covers over 50 representative models and their variants, more than 20 categories of tasks, and an extensive coverage of over 680 related works. Building on our examination of the developmental trajectories, we further investigate the emerging synergies between code intelligence and broader machine intelligence.
  arXiv  Detail & Related papers  (2024-03-21T08:54:56Z)
• SciOps: Achieving Productivity and Reliability in Data-Intensive Research [0.8414742293641504]
  Scientists are increasingly leveraging advances in instruments, automation, and collaborative tools to scale up their experiments and research goals. Various scientific disciplines, including neuroscience, have adopted key technologies to enhance collaboration, inspiration and automation. We introduce a five-level Capability Maturity Model describing the principles of rigorous scientific operations.
  arXiv  Detail & Related papers  (2023-12-29T21:37:22Z)
• Industry-Academia Research Collaboration in Software Engineering: The Certus Model [13.021014899410684]
  Building scalable and effective research collaborations in software engineering is known to be challenging. This paper aims to understand what are the elements of a successful industry-academia collaboration that enable the culture of participative knowledge creation.
  arXiv  Detail & Related papers  (2022-04-23T10:16:23Z)
• Mapping Research Topics in Software Testing: A Bibliometric Analysis [9.462148324186398]
  Co-word analysis is a text mining technique based on the co-occurrence of terms. Our analysis enables the mapping of software testing research into clusters of connected topics. This map also suggests topics that are growing in importance, including topics related to web and mobile applications and artificial intelligence.
  arXiv  Detail & Related papers  (2021-09-09T08:06:51Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.