All Stories

  1. How Do Companies Manage the Environmental Sustainability of AI? An Interview Study About Green AI Efforts and Regulations
  2. How Do Model Export Formats Impact the Development of ML-Enabled Systems? A Case Study on Model Integration
  3. How Do Computer Science Students Perceive Self-Study with Open-Source Repositories for Building AI/ML Systems?
  4. How Does Microservice Granularity Impact Energy Consumption and Performance? A Controlled Experiment
  5. On the Effectiveness of Microservices Tactics and Patterns to Reduce Energy Consumption: An Experimental Study on Trade-Offs
  6. AI Techniques in the Microservices Life-Cycle: a Systematic Mapping Study
  7. How do ML practitioners perceive explainability? an interview study of practices and challenges
  8. How mature is requirements engineering for AI-based systems? A systematic mapping study on practices, challenges, and future research directions
  9. How to Sustainably Monitor ML-Enabled Systems? Accuracy and Energy Efficiency Tradeoffs in Concept Drift Detection
  10. How Do Microservice API Patterns Impact Understandability? A Controlled Experiment
  11. RESTRuler: Towards Automatically Identifying Violations of RESTful Design Rules in Web APIs
  12. Balancing Progress and Responsibility: A Synthesis of Sustainability Trade-Offs of AI-Based Systems
  13. Sustainability Integration of Artificial Intelligence into the Software Development Life Cycle
  14. Towards Explainability as a Functional Requirement: A Vision to Integrate the Legal, End-User, and ML Engineer Perspectives
  15. Apples, Oranges, and Software Engineering: Study Selection Challenges for Secondary Research on Latent Variables
  16. Analyzing the Evolution and Maintenance of ML Models on Hugging Face
  17. Beyond Self-Promotion: How Software Engineering Research Is Discussed on LinkedIn
  18. A Synthesis of Green Architectural Tactics for ML-Enabled Systems
  19. On Maintainability and Microservice Dependencies: How Do Changes Propagate?
  20. An Analysis of MLOps Architectures: A Systematic Mapping Study
  21. Towards an Architecture-Centric Methodology for Migrating to Microservices
  22. Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining Study
  23. How Can You Tell How Well a Developer Understands Code?
  24. Do RESTful API design rules have an impact on the understandability of Web APIs?
  25. Resist the Hype!: Practical Recommendations to Cope With Résumé-Driven Development
  26. A Case Study on AI Engineering Practices: Developing an Autonomous Stock Trading System
  27. Design Patterns for AI-based Systems: A Multivocal Literature Review and Pattern Repository
  28. Adopting microservices and DevOps in the cyber‐physical systems domain: A rapid review and case study
  29. Can Requirements Engineering Support Explainable Artificial Intelligence? Towards a User-Centric Approach for Explainability Requirements
  30. To type or not to type?
  31. Towards a methodological framework for production-ready AI-based software components
  32. Software Engineering for AI-Based Systems: A Survey
  33. Towards using coupling measures to guide black‐box integration testing in component‐based systems
  34. Designing Microservice Systems Using Patterns: An Empirical Study on Quality Trade-Offs
  35. Summary of the artifact accompanying the article : "Designing Microservice Systems Using Patterns: An Empirical Study on Quality Trade-Offs"
  36. Generating Reinforcement Learning Environments for Industrial Communication Protocols
  37. Industry practices and challenges for the evolvability assurance of microservices
  38. An explanation of the phenomenon "Résumé-Driven Development" among software professionals
  39. Characterizing Technical Debt and Antipatterns in AI-Based Systems: A Systematic Mapping Study
  40. Which RESTful API Design Rules Are Important and How Do They Improve Software Quality? A Delphi Study with Industry Experts
  41. Architecting Digital Products and Services
  42. Collecting Service-Based Maintainability Metrics from RESTful API Descriptions: Static Analysis and Threshold Derivation
  43. Scenario-based Evolvability Analysis of Service-oriented Systems: A Lightweight and Tool-supported Method
  44. Determining Microservice Boundaries: A Case Study Using Static and Dynamic Software Analysis
  45. Towards an Evolvability Assurance Method for Service-Based Systems
  46. Towards a Generalizable Comparison of the Maintainability of Object-Oriented and Service-Oriented Applications
  47. Microservices Migration in Industry: Intentions, Strategies, and Challenges
  48. Assuring the Evolvability of Microservices: Insights into Industry Practices and Challenges
  49. On the impact of service-oriented patterns on software evolvability: a controlled experiment and metric-based analysis
  50. Towards an Autonomous Bot for Automatic Source Code Refactoring
  51. Microservices in Industry: Insights into Technologies, Characteristics, and Software Quality
  52. Towards a Collaborative Repository for the Documentation of Service-Based Antipatterns and Bad Smells
  53. Using architectural modifiability tactics to examine evolution qualities of Service- and Microservice-Based Systems
  54. A Modular Approach to Calculate Service-Based Maintainability Metrics from Runtime Data of Microservices
  55. Architecting Service-Dominant Digital Products
  56. From Monolith to Microservices: A Classification of Refactoring Approaches
  57. Evolution of Enterprise Architecture for Digital Transformation
  58. Decision-Oriented Composition Architecture for Digital Transformation
  59. Limiting technical debt with maintainability assurance
  60. Software Evolution for Digital Transformation
  61. Automatically measuring the maintainability of service- and microservice-based systems
  62. Decision Management for Micro-Granular Digital Architecture
  63. Towards a practical maintainability quality model for service-and microservice-based systems
  64. Decision-Controlled Digitization Architecture for Internet of Things and Microservices
  65. Multi-perspective Digitization Architecture for the Internet of Things
  66. Towards Integrating Microservices with Adaptable Enterprise Architecture
  67. Multi-Perspective Decision Management for Digitization Architecture and Governance
  68. Decision Case Management for Digital Enterprise Architectures with the Internet of Things
  69. Real time charging database benchmarking