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ORCIDIEEE Software, Volume 43
Volume 43, Number 1, January - February 2026
- Sigrid Eldh
:
Is 42 the Answer?: A Practitioner's Tale of Measurements. 4-8 - Sue Black:
Has Agile Made Software Development Better, or Has It Become Just Another Buzzword? 9-12 - Jan-Philipp Steghöfer, Markus Borg:
An Abstraction Is Worth a Thousand Vibes. 13-16 - Ciera Jaspan, Collin Green:
What Happens When Technical Debt Vanishes? 17-21 - Diomidis Spinellis:
Optimizing File Streaming Input/Output. 22-25 - Zhen Ming Jiang, Ahmed E. Hassan, Thomas Zimmermann, Mark Harman:
AIware in the Foundation Model Era. 26-30 - Rian Melo, Pedro Simões, Rohit Gheyi, Marcelo d'Amorim, Márcio Ribeiro, Gustavo Soares, Eduardo Santana de Almeida, Elvys Soares:
Agentic LMs: Hunting Down Test Smells. 32-40 - John Pangas, Suhaib Mujahid, Ahmad Abdellatif, Marco Castelluccio:
Using LLMs to Bridge the Gaps in QA Test Plans at Firefox. 41-47 - Saarang Agarwal, Pengyu Nie, Meiyappan Nagappan:
What Inputs Drive Effective Large Language Model-Based Unit Test Generation? 48-56 - Zhiyuan Chen, Vanessa Nava-Camal, Tiash Roy, Zhe Li, Yiming Tang, Xueling Zhang, Haibo Yang:
Exploring Large Language Models' Potential for Privacy Leakage Detection in Android App Logs: An Empirical Study. 57-63 - Ranim Khojah, Mazen Mohamad, Linda Erlenhov, Francisco Gomes de Oliveira Neto, Philipp Leitner:
Large Language Model Company Policies and Policy Implications in Software Organizations. 64-72 - Ruksit Rojpaisarnkit, Youmei Fan, Kenichi Matsumoto, Raula Gaikovina Kula:
How Natural Language Proficiency Shapes Generative AI Code for Software Engineering Tasks. 73-80 - Maria Teresa Paratore, Eda Marchetti, Antonello Calabrò, Gianluca Trentanni:
Leveraging Large Language Models for Automated Access Policies Generation: An Agentware Approach. 81-88 - Hassan Sartaj, Jalil Boudjadar, Mirgita Frasheri, Shaukat Ali, Peter Gorm Larsen:
Identifying Uncertainty in Self-Adaptive Robotics With Large Language Models. 89-97 - Noble Saji Mathews, Meiyappan Nagappan:
When AI-Generated Unit Tests Validate Bugs: The Risk of Faulty Assertions. 98-104 - Jakub Chabik, Bartosz Walter:
Fifty Shades of Green: Speaking and Understanding a Secret Language of Project Statuses. 105-111 - Vard Antinyan, Mikael Grah:
Fashion-Driven Software Engineering: Industry Experiences of Form Over Substance. 112-118 - Patricia Lago, Ivano Malavolta:
A New Vision on Software Sustainability and Its Engineering. 119-123 - Miroslaw Staron, Silvia Abrahã:
Intentions, Standards, and Emotions: How Requirements Are Engineered in the Era of Large Language Models. 125-128 - Laura Maguire:
Environmental Design to Handle Complexity. 130-132 - Karthik Vaidhyanathan, Davide Taibi:
Agentic AI Frameworks Under the Microscope: What Works, What Doesn't. 133-138 - Karthik Vaidhyanathan:
From AI Assistants to Secure by Design: A Multi-Episode SE Radio Digest. 139-143
Volume 43, Number 2, March - April 2026
- Sigrid Eldh:
Why You Should Care About Green Clean Sustainable Software. 4-7 - Sue Black:
Empathy: The Missing Ingredient in Software Engineering. 8-10 - Richard Hawkins, Colin Paterson, Ibrahim Habli, Markus Borg:
Safe Machine Learning: Why Performance Is Not Enough. 11-15 - Diomidis Spinellis:
Optimizing Stream Editing Performance. 16-19 - Christof Ebert:
Mastering Software Technology: The Journey Ahead. 20-24 - Luis Cruz, Patricia Lago, Henry Muccini, Eoin Woods:
Green Clean Software Sustainability. 25-31 - Saurabhsingh Rajput, Mootez Saad, Tushar Sharma:
Tu(r)ning AI Green: Exploring Energy Efficiency Cascading With Orthogonal Optimizations. 32-41 - Aman Swaraj, Sandeep Kumar:
Is ChatGPT-Generated Code Really Green?: Evaluating AI-Generated Solutions for Energy-Efficient Coding Practices. 42-50 - Prakhar Singhal, Shaunak Biswas, Karthik Vaidhyanathan, Akhila Matathammal, Ch Pavan Harshit, Ravi Kappagantu, Srinivas V. Katakam, Jitendra Chougala:
LEAF: A Layered Emission Assessment Framework for Cloud Deployments. 51-60 - Louay Khrouf, Anas Shatnawi, Romain Rouvoy, Benoît Verhaeghe, Boubou Thiam Niang:
Energy Consumption of Web Applications: Measurement Challenges in Practice. 61-69 - Roberto Vergallo, Antonio Campa, Simone Casciaro, Giovanni Ciccarese, Antonio Mongelli, Luca Mainetti:
NetCarbTrace: A Probing Tool to Measure and Explore the Carbon Footprint of Computer Networks. 70-77 - Lori Lou, Lucas Guichard, Valère Plantevin, Hamdi Ben Abdessalem, Yannick Francillette:
Energy Profiling in Games: Introducing a Frame-Based Power Consumption Metric. 78-84 - Hao Li, Hicham Masri, Filipe Roseiro Côgo, Abdul Ali Bangash, Bram Adams, Ahmed E. Hassan:
Understanding Prompt Management in GitHub Repositories: A Call for Best Practices. 85-93 - Munir Mandviwalla, Amrit Tiwana, Michael Bradshaw:
Modernizing Core Legacy Systems: A Framework Based on Transplantability and Tailoring. 94-102 - Tongwei Zhang, Kundi Yao, Hanyang Hu, Pengyu Nie, Krishna Koravadi, Weiyi Shang:
Detecting Diagnostic Trouble Code Requirement-Implementation Inconsistencies Using LLMs: An Experience Report. 103-111 - Michal Dron, Tomasz Szandala:
Web Application State Management: A Review of Leading React Frameworks. 112-118 - Silvia Abrahão, Miroslaw Staron:
Mapping the Software Evolution Landscape in the Age of Large Language Models. 120-124 - Mary Shaw, Michael Hilton, George Fairbanks:
AI Tools Make Design Skills More Important than Ever. 126-129 - Daniel M. Berry:
The True Cost of AI Assistance to Programming of Software. 130-135 - Sergio Moreschini, David Hästbacka, Davide Taibi:
Comparing Cloud-Native MLOps Platforms: AWS, Azure, GCP, and Databricks. 136-142 - Karthik Vaidhyanathan:
The Agentic Shift: A Four-Episode Journey into Tool-Using LLMs, Secure Context, and AI-Driven Engineering. 144-148
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last updated on 2026-04-04 00:06 CEST by the dblp team
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