Logo des Repositoriums

Auflistung nach Schlagwort "architecture smells"

1 - 2 von 2
  • 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.
  • 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.