TY - JOUR
T1 - Assessing Architectural Drift in Commercial Software Development
T2 - A Case Study
AU - Rosik, Jacek
AU - Le Gear, Andrew
AU - Buckley, Jim
AU - Ali Babar, Muhammad
AU - Connolly, Dave
PY - 2010
Y1 - 2010
N2 - Objectives: Software architecture is perceived as one of the most important artefacts created during a system's design. However, implementations often diverge from their intended architectures: a phenomenon called architectural drift. The objective of this research is to assess the occurrence of architectural drift in the context of de novo software development, to characterize it, and to evaluate whether its detection leads to inconsistency removal. Method: An in vivo, longitudinal case study was performed during the development of a commercial software system, where an approach based on Reflexion Modelling was employed to detect architectural drift. Observation and think-aloud data, captured during the system's development, were assessed for the presence and types of architectural drift. When divergences were identified, the data were further analysed to see if identification led to the removal of these divergences. Results: The analysed system diverged from the intended architecture, during the initial implementation of the system. Surprisingly however, this work showed that Reflexion Modelling served to conceal some of the inconsistencies, a finding that directly contradicts the high regard that this technique enjoys as an architectural evaluation tool. Finally, the analysis illustrated that detection of inconsistencies was insufficient to prompt their removal, in the small, informal team context studied. Conclusions: Although the utility of the approach for detecting inconsistencies was demonstrated in most cases, it also served to hide several inconsistencies and did not act as a trigger for their removal. Hence additional efforts must be taken to lessen architectural drift and several improvements in this regard are suggested.
AB - Objectives: Software architecture is perceived as one of the most important artefacts created during a system's design. However, implementations often diverge from their intended architectures: a phenomenon called architectural drift. The objective of this research is to assess the occurrence of architectural drift in the context of de novo software development, to characterize it, and to evaluate whether its detection leads to inconsistency removal. Method: An in vivo, longitudinal case study was performed during the development of a commercial software system, where an approach based on Reflexion Modelling was employed to detect architectural drift. Observation and think-aloud data, captured during the system's development, were assessed for the presence and types of architectural drift. When divergences were identified, the data were further analysed to see if identification led to the removal of these divergences. Results: The analysed system diverged from the intended architecture, during the initial implementation of the system. Surprisingly however, this work showed that Reflexion Modelling served to conceal some of the inconsistencies, a finding that directly contradicts the high regard that this technique enjoys as an architectural evaluation tool. Finally, the analysis illustrated that detection of inconsistencies was insufficient to prompt their removal, in the small, informal team context studied. Conclusions: Although the utility of the approach for detecting inconsistencies was demonstrated in most cases, it also served to hide several inconsistencies and did not act as a trigger for their removal. Hence additional efforts must be taken to lessen architectural drift and several improvements in this regard are suggested.
KW - Architetural Drift
KW - Commercial Software Development
KW - Architecture Evaluation
KW - Architecture Deviation
KW - Architetural Drift
KW - Commercial Software Development
KW - Architecture Evaluation
KW - Architecture Deviation
U2 - 10.1002/spe.999
DO - 10.1002/spe.999
M3 - Journal article
SN - 0038-0644
JO - Software: Practice & Experience
JF - Software: Practice & Experience
ER -