All Stories

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