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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
Cross-Section Evidence-based Timelines for Software Proce...
Pariya Kashfi, Robert Feldt, Agneta Nilsson, Richard Berntsson S · 2016-05-13 · via cs.SE updates on arXiv.org

Although integrating UX practices into software development processes is a type of Software Process Improvement (SPI) activity, this has not yet been taken into account in UX publications. In this study, we approach UX integration in a software development company in Sweden from a SPI perspective. Following the guidelines in SPI literature, we performed a retrospective meeting at the company to reflect on their decade of SPI activities for enhancing UX integration. The aim of the meeting was to reflect on, learn from, and coordinate various activities spanned across various organizational units and projects. We therefore supported the meeting by a pre- generated timeline of the main activities in the organization that is different from common project retrospective meetings in SPI. This approach is a refinement of a similar approach that is used in Agile projects, and is shown to improve effectiveness of, and decrease memory bias. We hypothesized that this method can be useful in the context of UX integration, and in this broader scope. To evaluate the method we gathered practitioners' view through a questionnaire. The findings showed our hypothesis to be plausible. Here, we present that UX integration research and practice can benefit from the SPI body of knowledge; We also show that such cross-section evidence-based timeline retrospective meetings are useful for UX integration, and in a larger scale than one project, especially for identifying and reflecting on 'organizational issues'. This approach also provides a cross- section longitudinal overview of the SPI activities that cannot easily be gained in other common SPI learning approaches.