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cs.SE updates on arXiv.org

VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Evaluating LLM-Generated Obfuscated XSS Payloads for Machine Learning-Based Detection Do Agents Dream of Root Shells? Partial-Credit Evaluation of LLM Agents in Capture the Flag Challenges Refute-or-Promote: An Adversarial Stage-Gated Multi-Agent Review Methodology for High-Precision LLM-Assisted Defect Discovery From Particles to Perils: SVGD-Based Hazardous Scenario Generation for Autonomous Driving Systems Testing Choose Your Own Adventure: Non-Linear AI-Assisted Programming with EvoGraph Human-Machine Co-Boosted Bug Report Identification with Mutualistic Neural Active Learning LLMSniffer: Detecting LLM-Generated Code via GraphCodeBERT and Supervised Contrastive Learning Neurosymbolic Repo-level Code Localization CodeMMR: Bridging Natural Language, Code, and Image for Unified Retrieval Symbolic Guardrails for Domain-Specific Agents: Stronger Safety and Security Guarantees Without Sacrificing Utility Verification Modulo Tested Library Contracts The Semi-Executable Stack: Agentic Software Engineering and the Expanding Scope of SE Scaling Test-Time Compute for Agentic Coding AI-Assisted Requirements Engineering: An Empirical Evaluation Relative to Expert Judgment From Procedural Skills to Strategy Genes: Towards Experience-Driven Test-Time Evolution Atropos: Improving Cost-Benefit Trade-off of LLM-based Agents under Self-Consistency with Early Termination and Model Hotswap Vibe-Coding: Feedback-Based Automated Verification with no Human Code Inspection, a Feasibility Study Benchmarks for Trajectory Safety Evaluation and Diagnosis in OpenClaw and Codex: ATBench-Claw and ATBench-Codex Bounded Autonomy for Enterprise AI: Typed Action Contracts and Consumer-Side Execution AIPC: Agent-Based Automation for AI Model Deployment with Qualcomm AI Runtime Analyzing Chain of Thought (CoT) Approaches in Control Flow Code Deobfuscation Tasks Asking What Matters: Reward-Driven Clarification for Software Engineering Tasks Prompt-Driven Code Summarization: A Systematic Literature Review LinuxArena: A Control Setting for AI Agents in Live Production Software Environments LLMs taking shortcuts in test generation: A study with SAP HANA and LevelDB Large Language Models to Enhance Business Process Modeling: Past, Present, and Future Trends CollabCoder: Plan-Code Co-Evolution via Collaborative Decision-Making for Efficient Code Generation Sentiment analysis for software engineering: How far can zero-shot learning (ZSL) go? Learning from Change: Predictive Models for Incident Prevention in a Regulated IT Environment
Software Ecosystems: A Tertiary Study and a Thematic Model
Paulo Malcher, Olavo Barbosa, Davi Viana, Rodrigo Santos · 2022-12-21 · via cs.SE updates on arXiv.org

A software ecosystem (SECO) is an interaction, communication, cooperation, and synergy among a set of players. Depending on the actors type of interaction with others, each one can play a different role. These interactions provide a set of positive relationships (symbiosis) between actors who work together around a common technology platform or a service. SECO has been explored in several studies, some related to their general characteristics and others focusing on a specific topic (e.g., requirements, governance, open-source, mobile). There are many literature reviews of different natures (e.g., systematic literature reviews and systematic mapping studies). This study presents the status of the SECO field motivated by analyzing several secondary studies published over the years. To do so, we conducted a tertiary study. From an initial set of 518 studies on the subject, we selected 22 studies. We identified the theoretical foundations used by researchers and their influences and relationships with other ecosystems. We performed a thematic synthesis and identified one high-order theme, 5 themes, 10 subthemes, and 206 categories. As a result, we proposed a thematic model for SECO containing five themes, namely: social, technical, business, management, and an evaluation theme named Software Ecosystems Assessment Models (SEAM). Our main conclusion is that relationships between SECO themes should not be seen in isolation, and it must be interpreted in a holistic approach, given the number of implications to other themes mainly related to the distinction of governance and management activities in the SECO interactions. Finally, this work provides an overview of the field and points out areas for future research, such as the need of SECO community to further investigate the results from other ecosystems, mainly from the Digital Ecosystem and Digital Business Ecosystem communities.