- author = "Usman Mansoor",
- title = "Handling High-Level Model Changes Using Search Based Software Engineering",
- school = "Information Systems Engineering, College of Engineering and Computer Science, University of Michigan-Dearborn",
- year = "2017",
- address = "USA",
- keywords = "genetic algorithms, genetic programming, SBSE, Software Engineering, Model Merging, Model-Driven Engineering, MDE, Multi-Objective Optimization, Refactoring, Defect Detection, NSGA-II, MOGP, NLP, MOPSO, code-smells, model-smells",
-
URL = "
https://hdl.handle.net/2027.42/136077",
-
URL = "https://deepblue.lib.umich.edu/handle/2027.42/136077",
-
URL = "
http://deepblue.lib.umich.edu/bitstream/2027.42/136077/1/Usman%20Mansoor%20Final.pdf",
- size = "169 pages",
-
abstract = "Model-Driven Engineering (MDE) considers models as
first-class artifacts during the software life-cycle.
The number of available tools, techniques, and
approaches for MDE is increasing as its use gains
traction in driving quality, and controlling cost in
evolution of large software systems. Software models,
defined as code abstractions, are iteratively refined,
restructured, and evolved. This is due to many reasons
such as fixing defects in design, reflecting changes in
requirements, and modifying a design to enhance
existing features. In this work, we focus on four main
problems related to the evolution of software models:
1) the detection of applied model changes, 2) merging
parallel evolved models, 3) detection of design defects
in merged model, and 4) the recommendation of new
changes to fix defects in software models.
Regarding the first contribution, a-posteriori multi-objective change detection approach has been proposed for evolved models. The changes are expressed in terms of atomic and composite re-factoring operations. The majority of existing approaches detects atomic changes but do not adequately address composite changes which mask atomic operations in intermediate models.
For the second contribution, several approaches exist to construct a merged model by incorporating all non-conflicting operations of evolved models. Conflicts arise when the application of one operation disables the applicability of another one. The essence of the problem is to identify and prioritise conflicting operations based on importance and context, a gap in existing approaches. This work proposes a multi-objective formulation of model merging that aims to maximize the number of successfully applied merged operations.
For the third and fourth contributions, the majority of existing works focuses on refactoring at source code level, and does not exploit the benefits of software design optimization at model level. However, refactoring at model level is inherently more challenging due to difficulty in assessing the potential impact on structural and behavioural features of the software system. This requires analysis of class and activity diagrams to appraise the overall system quality, feasibility, and inter-diagram consistency. This work focuses on designing, implementing, and evaluating a multi-objective refactoring framework for detection and fixing of design defects in software models.",
-
notes = "p144 'fixing of design defects by analysing class and
activity diagrams'. shotgun surgery
Supervisor: Marouane Kessentini",
