A Light-Weight Proactive Software Change Impact Analysis Using Use Case Maps

2006 ◽  
Author(s):  
J. Hewitt ◽  
J. Rilling
Keyword(s):  
Impact Analysis ◽  
Use Case ◽  
Light Weight ◽  
Change Impact Analysis ◽  
Use Case Maps ◽  
Software Change ◽  
Change Impact

scholarly journals Improving the Accuracy of Static Source Code Based Software Change Impact Analysis Through Hybrid Techniques: A Review

2021 ◽  
Vol 7 (1) ◽  
pp. 57-66
Author(s):  
YUSUFF SHAKIRAT ◽  
◽  
AMOS BAJEH ◽  
T.O Aro ◽  
KAYODE ADEWOLE ◽  
...  
Keyword(s):  
Software Maintenance ◽  
Impact Analysis ◽  
Optimal Level ◽  
Software Systems ◽  
Change Impact Analysis ◽  
Hybrid Techniques ◽  
Software Change ◽  
Software Changes ◽  
Systems Quality ◽  
Change Impact

Change is an inevitable phenomenon of life. This inevitability of change in the real world has made a software change an indispensable characteristic of software systems and a fundamental task of software maintenance and evolution. The continuous evolution process of software systems can greatly affect the systems’ quality and reliability if proper mechanisms to manage them are not adequately provided. Therefore, there is a need for automated techniques to effectively make an assessment of proposed software changes that may arise due to bug fixes, technological advancements, changing user requirements etc., before their implementation. Software Change Impact Analysis (CIA) is an essential activity for comprehending and identifying potential change impacts of software changes that can help prevent the system from entering into an erroneous state. Despite the emergence of different CIA techniques, they are yet to reach an optimal level of accuracy desired by software engineers. Consequently, researchers in recent years have come up with hybrid CIA techniques which are a blend of multiple CIA approaches, as a way of improving the accuracy of change impacts analysis techniques. This study presents these hybrid CIA techniques and how they improve accuracy. They are also compared and areas for further research are identified.

scholarly journals A Structure-Driven Method for Information Retrieval-Based Software Change Impact Analysis

2018 ◽  
Vol 2018 ◽  
pp. 1-16
Author(s):  
Yun He ◽  
Tong Li ◽  
Wei Wang ◽  
Wei Lan ◽  
Xiang Li
Keyword(s):  
Information Retrieval ◽  
Impact Analysis ◽  
Contextual Information ◽  
Source Code ◽  
Word Embedding ◽  
Bag Of Words ◽  
Change Impact Analysis ◽  
Software Change ◽  
Change Impact ◽  
Single Method

An important application of information retrieval technology is software change impact analysis. Existing information retrieval-based change impact analysis methods select a single method to transform the source code corpus into vectors in a process known as indexing. The single method is chosen from two primary methods, known as the bag-of-words and word embedding models, each having their specific advantages and disadvantages. The bag-of-words model records every word in the source code but ignores contextual information in the corpus. The word embedding model records the contextual information but loses detail for individual words. To address this problem, we propose a structure-driven method for information retrieval-based change impact analysis (named SDM-CIA). SDM-CIA integrates the bag-of-words and word embedding models based on the software’s structure. Our experiments using a standard benchmark shows that when compared with the existing methods, SDM-CIA improves on precision performance, recall performance, F-score performance, and MRR performance by an average of 3.65%, 3.82%, 3.6%, and 10.28%, respectively. Our experiments confirm the effectiveness of SDM-CIA.

scholarly journals Software Change Management: a Quantified Perspective

2018 ◽  
Vol 7 (3.12) ◽  
pp. 963
Author(s):  
Ankit Dhamija ◽  
Sunil Sikka
Keyword(s):  
Change Management ◽  
Software Metrics ◽  
Impact Analysis ◽  
Systematic Change ◽  
Code Design ◽  
Design Features ◽  
Change Impact Analysis ◽  
Software Change ◽  
Change Impact ◽  
F Measure

A systematic Change Impact Analysis (CIA) is being used for better change management of software. Also, CIA process is evolved continuously to make it more effective. Software metrics play an important role to evaluate CIA process. Two types of metrics are used to evaluate CIA. First types of metrics are the standard metrics used to evaluate the performance of CIA techniques for example Precision, Recall, F-measure etc. These are most commonly used by researchers. Second types of metrics are those which are used to quantify the change impact which is based on the code/design features. This paper is aimed at identification of these second types of metrics available in literature.  

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