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Auflistung nach Schlagwort "software evolution"

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  • Zeitschriftenartikel
    Analysing the Vocabulary to Identify Knowledge Divergence
    (Softwaretechnik-Trends: Vol. 32, No. 2, 2012) Nonnen, Jan; Imhoff, Paul
    Jan Nonnen, Paul Imhoff University of Bonn Computer Science III Bonn, Germany {nonnen, imhoffj}@cs.uni-bonn.de
  • Konferenzbeitrag
    Classifying Edits to Variability in Source Code - Summary
    (Software Engineering 2023, 2023) Bittner, Paul Maximilian; Tinnes, Christof; Schultheiß, Alexander; Viegener, Sören; Kehrer, Timo; Thüm, Thomas
    We report about recent research on edit classification in configurable software, originally published at the 30th Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) 2022 [Bi22]. For highly configurable software systems, such as the Linux kernel, maintaining and evolving variability information along changes to source code poses a major challenge. While source code itself may be edited, also feature-to-code mappings may be introduced, removed, or changed. In practice, such edits are often conducted ad-hoc and without proper documentation. To support the maintenance and evolution of variability, it is desirable to understand the impact of each edit on the variability. We propose the first complete and unambiguous classification of edits to variability in source code by means of a catalog of edit classes. This catalog is based on a scheme that can be used to build classifications that are complete and unambiguous by construction. To this end, we introduce a complete and sound model for edits to variability. In about 21.5 ms per commit, we validate the correctness, relevance, and suitability of our classification by classifying each edit in 1.7 million commits in the change histories of 44 open-source software systems automatically.
  • Konferenzbeitrag
    An Evolutionary Analysis of Software-Architecture Smells
    (Software Engineering 2022, 2022) Gnoyke, Philipp; Schulze, Sandro; Krüger, Jacob
    This paper was published in the proceedings of the 37th International Conference on Software Maintenance and Evolution (ICSME 2021). If software quality assurance is postponed or abandoned for a software system, maintenance and evolution become harder or impossible. One symptom for the degradation of system quality are Architecture Smells (ASs), which violate fundamental principles of software design. We present a study on the evolution of ASs, including how and when they foster system degradation. This provides valuable insights regarding what ASs are meaningful to assure system quality. To this end, we analyzed the evolution of three types of ASs in 14 open-source systems, with 485 versions in total. We adapted previously used indicators to assess the severity of ASs (e.g., growth, lifetime), and relate ASs to technical debt. Our results indicate that 1) ASs remain mostly stable compared to the code size of a system, 2) certain types of ASs, such as cyclic dependencies, have a greater impact on system degradation, and 3) certain properties determine how much an AS contributes to software degradation. These findings are valuable for practitioners to identify and tackle system degeneration. Moreover, they help researchers to scope new research on managing ASs and technical debt.
  • Zeitschriftenartikel
    An Interim Summary on Semantic Model Differencing
    (Softwaretechnik-Trends: Vol. 32, No. 4, 2012) Maoz, Shahar; Ringert, Jan; Rumpe, Bernhard
    Shahar Maoz
  • Textdokument
    Nature Inspired System Analysis
    (Softwaretechnik-Trends: Vol. 37, No. 2, 2017) Tenev, Vasil
    The process of cloning variants of a system to accommodate increasing customization is often state of the practice where code duplication is caused by the combination of maintenance problems, high customization, and time pressure. This particular situation motivates the research on similarity analysis of system variants. Similarity determination, variability information recovery, and evolu- tion history reconstruction are prime goals in this context. Analogous research problems appear in the bioinformatics. The growing amount of DNA/RNA sequence data requires efficient similarity analysis and proper visualizations. This branch of computer science faces the tasks of simultaneous aligning for multiple genome sequences, and estimating evolutionary correlations in a given set of taxa. Hence, we applied these techniques to analyze a group of related systems from the BSD Unix family as prove of concept towards model-based variant analysis of complex systems.
  • Konferenzbeitrag
    Visualization of Evolving Architecture Smells
    (Softwaretechnik-Trends Band 44, Heft 2, 2024) Schulze, Sandro; Prlja, Armin
    Architecture Smells (AS) have gained importance in recent past as indicator of bad practices related to the design of software systems. While AS and their symptoms show up on a rather abstract level compared to code smells, both share the characteristic that they evolve over time. This, in turn, may lead to even more severe smells that manifest themselves in the system. However, understanding the evolution of AS and when or how such smells tend to degrade in an undesirable way is not trivial given just tons of data from an analysis tool. In this paper, we introduce a visualization based on network graphs that support developers in understanding the evolution of three common architecture smells: cyclic dependencies, hub-like dependencies, and unstable dependencies. We also discuss scenarios when this is beneficial and what are current limitations of our visualization.