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Auflistung nach Schlagwort "continuous integration"

1 - 3 von 3
  • Konferenzbeitrag
    Better Feedback Times Using Test Case Prioritization? Mining Data of Past Build Failures in an Automated Benchmark
    (Softwaretechnik-Trends Band 40, Heft 2, 2020) Rott, Jakob; Niedermayr, Rainer; Jürgens, Elmar
    In software projects with growing functionality, the number of tests increases fast which results in long execution times for the whole test suite. As a consequence, it is not possible to always execute the whole test suite after each commit so that feedback time to developers increases. With long test feedback times, the effort for an early fix rises and developers can be hindered in productive work. One solution to reduce feedback times is test case prioritization. Although test prioritization strategies have been extensively studied, they are rarely used in practice and their benefits are widely unknown. In this paper, we present a benchmark framework to evaluate the benefits of different test prioritization algorithms on open source projects and primarily use the time until the first failure (TUFF) as relevant metric. We conducted an empirical study with 31 open-source projects hosted on GitHub, using data of 437 builds that failed on the CI server. In 75% of the builds, the first test will fail within the first 18% of the total test suite’s duration.
  • Konferenzbeitrag
    Continuing to Catch Up with State of the Art Continuous Integration Pipelines in Palladio – The Experience Report Strikes Back
    (Softwaretechnik-Trends Band 43, Heft 4, 2023) Alber, Lucas; Boltz, Nicolas; Schmid, Larissa
    The Palladio organization comprises over 50 software artifacts and is actively developed by over 32 members. This research paper presents a case study on the migration from Jenkins to GitHub Actions for automated builds in the development workflow for Palladio. The transition has yielded significant improvements in continuous integration, review processes, and deployment efficiency. The adoption of GitHub Actions’ modular and reusable workflows has further optimized our build pipeline, resulting in enhanced maintainability and reduced redundancy. Additionally, by leveraging dependency analysis, we applied the idea of incremental builds to the whole organization and automated the generation of build workflows, leading to improved resource utilization and an average speed-up in build times of 11.7. This study highlights the benefits of embracing GitHub Actions and provides valuable insights for development teams seeking to streamline their build processes.
  • Konferenzbeitrag
    Vision of Continuously Assuring Performance
    (Softwaretechnik-Trends Band 40, Heft 3, 2020) Reichelt, David Georg; Kühne, Stefan; Hasselbring, Wilhelm
    When assuring performance, small performance differences at code level are difficult to measure at application level. Current approaches aimed at performance assurance are capable of identifying hotspots and major performance bugs. Apart from their inability to detect small regressions, they require manual effort for specification and execution. In this paper, we present the vision of continuously assuring performance by using functional unit tests. Utilizing small tests allows developers to detect small performance differences. Additionally, they do not have to define workloads manually if they use functional unit tests, since these are present in most projects. To achieve this, we propose integrating performance measurements in the continuous integration (CI) process, accelerating root cause analysis and creating parallel tests capable of identifying regressions that arise with parallel use.