IEEE Software
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Building the community of leading software practitioners
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Joined May 2009
The paper “How Pandemics Changed a Public Software Ecosystem” shows how COVID-19 pandemic transformed Finland’s Omaolo e-health platform, shifting its governance and development from a rigid, procurement-driven network to an agile, alliance-based ecosystem.
ieeexplore.ieee.org
When faced with a common threat, the ecosystem of companies needs to unite to face the challenge. We describe how Omaolo, a public digital platform for welfare and healthcare, and its supporting...
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The paper “A Deep-Learning-Based Visualization Tool for Air Pollution Forecasting” presents a cloud-based framework that unifies real-time observations from IoT sensors and air-quality stations with numerical and deep-learning models. Check it out!.
ieeexplore.ieee.org
This article presents a comprehensive visualization tool that integrates real-time observation and sensing data with various forecasting models, including numerical and deep-learning approaches. The...
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Does the arrival of new technologies too often draw our attention away from the foundational pillars of software engineering discipline? The paper "The Effects of Hype in the Software Domain" examines this question with a set of well-grounded observations.
computer.org
Hype is a common phenomenon in competitive environments, including in software engineering. It generally involves overstating the benefits, significance, or potential impact of some new product or...
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The paper “Smart Ecosystems and Digital Twins: An Architectural Perspective and a FIWARE-Based Solution” proposes a domain-agnostic, multiview architecture for digital-twin-enabled ecosystems. Check it out!
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The paper “Guidelines for Cultivating a Sense of Belonging to Reduce Developer Burnout” synthesizes three large-scale studies to offer guidelines on promoting a sense of belonging in software development teams. Check it out!.
computer.org
Our previous research showed that lack of belonging is associated with higher levels of burnout in software developers. We revisit this topic to offer guidelines on promoting a sense of belonging in...
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The paper “N-Version Assessment and Enhancement of Generative AI: Differential GAI” presents a method for boosting the reliability of AI-generated code by automatically producing multiple variants of code modules and their tests. Check it out!.
computer.org
We propose a way of mitigating generative AI’s (GAI) inherent untrustworthiness by exploiting its ability to generate multiple versions of code and tests, facilitating comparative analysis across...
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The paper “Legal Aspects for Software Developers Interested in Generative AI Applications" summarizes key aspects of data protection and licenses for developers working on products based on GenAI. Check it out!
computer.org
Recent successes in generative artificial intelligence (GenAI) have led to new technologies capable of generating high-quality content. We summarize key aspects regarding data protection and licenses...
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The paper "DevOps 2.0" explores the evolution from DevOps collaboration to an AI-powered model that unifies quality, security, compliance, and more. Check it out!.
computer.org
DevOps is increasingly used. It evolves along new needs and lessons learned into DevOps 2.0. This article provides current industry experiences such as DevOps with AI, coping with regression tests,...
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The paper "Analyzing Linux on a Supercomputer" shows how a CScout analysis of 20M lines of Linux kernel code was sped up using 32 parallel jobs and clever DB merging. Check it out!
computer.org
The C preprocessor, a key element of the language, has become a liability due to its lack of integration with modern language semantics. This column describes the analysis of the C preprocessor usage...
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The paper “Measuring Productivity: All Models Are Wrong, But Some Are Useful” examines how attempts to quantify productivity rely on imperfect models, showing that simplification makes metrics practical but risks omitting critical factors. Read it here!.
computer.org
Measuring productivity is equivalent to building a model. All models are wrong, but some are useful. Productivity models are often “worryingly selective” (wrong because of omissions). Worrying...
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Digital ecosystems are complex, but that is where requirements engineering thrives! "From Modeling to Simulation: A Head Start for Digital Ecosystem Design" shows how to design them. Where to start? Check out this theme issue! 🔗📰
computer.org
The theme of this issue is digital ecosystems, a fascinating yet complex and multidisciplinary topic. Exactly the kind of challenge where requirements engineering thrives! But where do you even begin...
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The special theme “Digitalization of Smart Ecosystems” examines how diverse digital technologies – from IoT and digital twins to AI and smart contracts – can be orchestrated into flexible socio-technical systems across industries. Check it out!.
computer.org
Digital ecosystems are complex networks of people, businesses and systems that use technology to interact with each other. The combination of technologies of a digital ecosystem enables to access...
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📣 Last call for the IEEE Software Special Issue on Green Clean Software Sustainability.💻 Submit your work on green in software and green through software dimensions!.🚨 Submission Deadline: June 12, 2025.🔗 More info:
computer.org
This issue will highlight green clean software,green software dimensions, and the role played by green software engineering.
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In "A Discussion of Digitalization of Smart Ecosystems With New Advisory Board Member," Prof. Serge Demeyer shares insights on how smart ecosystems are evolving in the context of Industry 4.0 and what digitalization means for their future. Check it out!.
computer.org
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The paper "Realizing the Benefits of Human–Machine Teaming for Safe Software Operations" explores how human-machine teaming can improve software operations, highlighting opportunities, limitations, and risks. Check it out! .
computer.org
The introduction of Artifical Intelligence into software operations can have unintended consequences on software safety & reliability. Closer examination and realistic expectations of human and...
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Much has been written about SE and ethics — but what do practitioners think about it? In the paper “What Do AI/ML Practitioners Think About AI/ML Bias?”, Aastha Pant and team reached out to AI/ML practitioners, revealing surprising results. Check it out!
computer.org
Presents a panel discussion on the topic of AI/ML Practitioners.
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📰 The paper "Laws, Ethics, and Fairness in Software Engineering" addresses critical concerns emerging from rapid advances in software engineering, particularly involving generative AI, data privacy, and workplace fairness. 🔗 Read the paper here:
computer.org
Software engineering in the era of generative AI, large data sets and superfast pace of software development often tends to focus on technology, tools and methods, putting aside us, software engine...
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📰 The paper "What Attracts Employees to Work on Site in Times of Increased Remote Working?" explores factors influencing employees' decisions to return to physical offices amid the growing preference for remote work post-pandemic. Check it out!.🔗
computer.org
We examine how remote work is institutionalized in eight companies, and solicit employees’ needs at the workplace. Based on these insights, we summarize actionable advice for policy makers, facility...
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🔎Explore past theme issues here: 📧 Have questions? Contact Henry Muccini at henry.muccini@univaq.it.
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📌 How to Submit.1️⃣ Prepare your proposal following our guidelines & templates. 2️⃣ Submit via EasyChair: 3️⃣ Review Process: Proposals will be evaluated for technical depth, innovation, relevance, and editorial quality by our expert board.
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