A Change Impact Analysis Approach for the Software Development Phase

Author(s):  
Nazri Kama ◽  
Faizul Azli
2016 ◽  
Vol 13 (2) ◽  
pp. 74-101
Author(s):  
Gustavo Ansaldi Oliva ◽  
Marco Aurélio Gerosa ◽  
Fabio Kon ◽  
Virginia Smith ◽  
Dejan Milojicic

In ever-changing business environments, organizations continuously refine their processes to benefit from and meet the constraints of new technology, new business rules, and new market requirements. Workflow management systems (WFMSs) support organizations in evolving their processes by providing them with technological mechanisms to design, enact, and monitor workflows. However, workflows repositories often grow and start to encompass a variety of interdependent workflows. Without appropriate tool support, keeping track of such interdependencies and staying aware of the impact of a change in a workflow schema becomes hard. Workflow designers are often blindsided by changes that end up inducing side- and ripple-effects. This poses threats to the reliability of the workflows and ultimately hampers the evolvability of the workflow repository as a whole. In this paper, the authors introduce a change impact analysis approach based on metrics and visualizations to support the evolution of workflow repositories. They implemented the approach and later integrated it as a module in the HP Operations Orchestration (HP OO) WFMS. The authors conducted an exploratory study in which they thoroughly analyzed the workflow repositories of 8 HP OO customers. They characterized the customer repositories from a change impact perspective and compared them against each other. The authors were able to spot the workflows with high change impact among thousands of workflows in each repository. They also found that while the out-of-the-box repository included in HP OO had 10 workflows with high change impact, customer repositories included 11 (+10%) to 35 (+250%) workflows with this same characteristic. This result indicates the extent to which customers should put additional effort in evolving their repositories. The authors' approach contributes to the body of knowledge on static workflow evolution and complements existing dynamic workflow evolution approaches. Their techniques also aim to help organizations build more flexible and reliable workflow repositories.


2013 ◽  
Vol 706-708 ◽  
pp. 1911-1914
Author(s):  
Li Liu ◽  
Xiao Dong Zhu ◽  
Fei Ye ◽  
Yi Gang Wang

Change impact analysis is very important to the object-oriented software development and maintenance. Aiming at the problem of change prediction at design level, dependency relationship among classes is analyzed firstly, and the relation of correlative class is described by conditioned probability. Then the prediction of software maintainability method base on probability is proposed. The proposed method can compare software maintainability of different design projects. Lastly, the feasibility and practicability of this method has been proved through one case.


2012 ◽  
Vol 4 (4) ◽  
pp. 60-75
Author(s):  
Jerod W. Wilkerson

CHA-AS is a source code change impact analysis algorithm for Java programs. CHA-AS differs from other algorithms in that it does not require the program versions it compares to be whole programs with a well-defined program entry point. The need for such an algorithm is evident in iterative software development projects and projects involving the development of code libraries and frameworks—all of which may not have a well-defined program entry point at the time when change impact analysis needs to be performed. The CHA-AS algorithm supports the development of Decision Support Systems for software development managers and programmers working on iterative software development projects, or projects to develop source code libraries and frameworks. This paper describes the CHA-AS algorithm and demonstrates it to be efficient and effective in calculating source code change impact.


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