A Knowledge-Supported System for Engineering Change Impact Analysis

2003 ◽  
Author(s):  
Sha Ma ◽  
Bin Song ◽  
Wen Feng Lu ◽  
Cheng Feng Zhu
Keyword(s):  
Change Management ◽  
Impact Analysis ◽  
Raw Materials ◽  
New Technology ◽  
Integrated Design ◽  
Engineering Change ◽  
Change Impact Analysis ◽  
Change Impact ◽  
Engineering Changes ◽  
The Impact

Engineering changes are inevitable in a product development life cycle. The requests for engineering changes can be due to new customer requirements, emergence of new technology, market feedback, or variations of components and raw materials. Each change generates a level of impact on costs, time to market, tasks and schedules of related processes, and product components. Change management tools available today focus on the management of document and process changes. Assessments of change impact are typically based on the “rule of thumb”. Our research has developed a methodology and related techniques to quantify and analyze the impact of engineering changes to enable faster and more accurate decision-making in engineering change management. Reported in this paper are investigations of industrial requirements and fundamental issues of change impact analysis as well as related research and techniques. A framework for a knowledge-supported change impact analysis system is proposed. Three critical issues of system implementation, namely integrated design information model, change plan generator and impact estimation algorithms, are addressed. Finally the benefits and future work are discussed.

A Static Change Impact Analysis Approach based on Metrics and Visualizations to Support the Evolution of Workflow Repositories

2016 ◽  
Vol 13 (2) ◽  
pp. 74-101
Author(s):  
Gustavo Ansaldi Oliva ◽  
Marco Aurélio Gerosa ◽  
Fabio Kon ◽  
Virginia Smith ◽  
Dejan Milojicic
Keyword(s):  
Impact Analysis ◽  
New Technology ◽  
Workflow Management ◽  
The Body ◽  
Analysis Approach ◽  
Tool Support ◽  
Change Impact Analysis ◽  
Support Organizations ◽  
Change Impact ◽  
The Impact

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.

Ripple Effect in Web Applications

2012 ◽  
pp. 97-111
Author(s):  
Nashat Mansour ◽  
Nabil Baba
Keyword(s):  
Web Application ◽  
Impact Analysis ◽  
Web Applications ◽  
Ripple Effect ◽  
Change Impact Analysis ◽  
Local Modification ◽  
Change Impact ◽  
The Stability ◽  
The Impact ◽  
The Web

The number of internet web applications is rapidly increasing in a variety of fields and not much work has been done for ensuring their quality, especially after modification. Modifying any part of a web application may affect other parts. If the stability of a web application is poor, then the impact of modification will be costly in terms of maintenance and testing. Ripple effect is a measure of the structural stability of source code upon changing a part of the code, which provides an assessment of how much a local modification in the web application may affect other parts. Limited work has been published on computing the ripple effect for web application. In this paper, the authors propose, a technique for computing ripple effect in web applications. This technique is based on direct-change impact analysis and dependence analysis for web applications developed in the .Net environment. Also, a complexity metric is proposed to be included in computing the ripple effect in web applications.

scholarly journals Change impact analysis of complex product based on three-parameter interval grey number grey relational model

2021 ◽  
Author(s):  
Weiming Yang ◽  
Congdong Li ◽  
Yinyun Yu ◽  
Bingjun Li
Keyword(s):  
Permanent Magnet ◽  
Impact Evaluation ◽  
Impact Analysis ◽  
Evaluation Index System ◽  
Relational Model ◽  
Engineering Change ◽  
Complex Product ◽  
Change Impact ◽  
Engineering Changes ◽  
Grey Relational

Abstract Change impact evaluation of complex product plays an important role in controlling change cost and improving change efficiency of engineering change enterprises. In order to improve the accuracy of change impact evaluation,this paper firstly expresses engineering changes based on multi-stage complex networks. Then, it constructs the evaluation index system of complex product engineering change impact. Next, based on the combination weighted three-parameter grey relational model, the engineering change impact of complex product is evaluated. Finally, a case analysis was carried out with the permanent magnet synchronous centrifugal compressor in a large permanent magnet synchronous centrifugal unit to verify the effectiveness of the proposed method.

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.  

A Knowledge-Based System for Change Impact Analysis

2004 ◽  
Author(s):  
Walid Ben Ahmed ◽  
Mounib Mekhilef ◽  
Michel Bigand ◽  
Yves Page
Keyword(s):  
Road Safety ◽  
Impact Analysis ◽  
Knowledge Engineering ◽  
Road Accident ◽  
Change Impact Analysis ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Change Impact ◽  
Design Requirements ◽  
The Impact

Due to the increasing complexity of the modern industrial context in an evolutionary environment, several changes (e.g. new technology, new system, human errors, etc.) may affect road safety. Analyzing the change impact on design requirements is a complex task especially when it deals with complex systems such as Vehicle Safety Systems (VSS). To handle a change impact analysis in road safety field, VSS designers require a specific knowledge stemmed from accidentology. In this paper, we develop a multi-view model of the road accident, which is crucial to extract the required knowledge. Indeed, this multi-view model allows the analysis of the impact of a given change on the Driver-Vehicle-Environment system from different viewpoints and on different grain of size. This allows an efficient approach to detect exhaustively the perturbations due to the change and thereby to anticipate and handle their effects. We use a Knowledge Engineering approach to implement the multi-view model in a Knowledge-Based System providing accidentologists and VSS designers with an efficient tool to carry out an analysis of change impact on analysis design requirements.

Software Change Impact Analysis

2015 ◽  
Vol 5 (2) ◽  
pp. 44-55
Author(s):  
Chetna Gupta ◽  
Varun Gupta
Keyword(s):  
Impact Analysis ◽  
Software Engineer ◽  
Maintenance Cost ◽  
Test Case ◽  
Test Cases ◽  
Change Impact Analysis ◽  
Call Graph ◽  
Regression Test ◽  
Change Impact ◽  
The Impact

This paper presents an approach to prioritize program segments within the impact set computed using functional call graph to assist regression testing for test case prioritization. The presented technique will first categorize the type of impact propagation and then prioritize the impacted segments into higher and lower levels based on propagation categorization. This will help in saving maintenance cost and effort by allocating higher priority to those segments which are impacted more within the impacted set. Thus a software engineer can first run those test cases which cover segments with higher impacted priority to minimize regression test selection.

scholarly journals Change impact analysis of complex product using an improved three-parameter interval grey relation model

2021 ◽  
Vol 16 (2) ◽  
pp. 185-198
Author(s):  
W.M. Yang ◽  
C.D. Li ◽  
Y.H. Chen ◽  
Y.Y. Yu
Keyword(s):  
Permanent Magnet ◽  
Impact Evaluation ◽  
Impact Analysis ◽  
Engineering Change ◽  
Complex Product ◽  
Product Engineering ◽  
Parameter Interval ◽  
Change Impact ◽  
Grey Number ◽  
The Impact

Change impact evaluation of complex product plays an important role in controlling change cost and improving change efficiency of engineering change enterprises. In order to improve the accuracy of engineering change impact evaluation, this paper introduces three-parameter interval grey number to evaluate complex products according to the data characteristics. The linear combination of BWM and Gini coefficient method is used to improve the three-parameter interval grey number correlation model. It is applied to the impact evaluation of complex product engineering change. This paper firstly constructs a multi-stage complex network for complex product engineering change. Then the engineering change impact evaluation index system is determined. Finally, a case analysis was carried out with the permanent magnet synchronous centrifugal compressor in a large permanent magnet synchronous centrifugal unit to verify the effectiveness of the proposed method.

scholarly journals Change Impact Analysis using Python for Java Applications

2020 ◽  
Vol 9 (1) ◽  
pp. 2232-2236
Keyword(s):  
Software Maintenance ◽  
Impact Analysis ◽  
Maintenance Phase ◽  
Analysis Tool ◽  
Human Errors ◽  
Change Impact Analysis ◽  
Software Application ◽  
Change Impact ◽  
Application Developers ◽  
The Impact

Software Applications needs to be changed constantly as per the requirements of the user or the client. This phase is known as the maintenance phase of a software application. On an average, the cost of software maintenance is more than 50% of all Software Development Life Cycle phases. The main purpose of software maintenance is to modify and update software application after delivery in order to correct faults, enhance the functionality or to improve performance. When the change request (CR) is received from the client the developers have to work upon the request. If the Change Request requires any modification, the application developers have to identify the risk of modifying the program or application before making the actual change. But there is a high chance of making errors in modifying the existing software. Change Impact analysis (CIA) is one of the error prevention technique. It is the process to find the effect of a change in a software application before the changes are made. By equipping developers with automated CIA tools to identify the risk of modifying the application we can minimize the errors. Impact analysis can be done based on the change request. This paper aims at developing a change impact analysis tool which can be used by the developer during the software maintenance phase. This proposed tool -Strategic Dependency Tracker (SDepTrac) helps the programmer/ developer to know “What part of the program (of a Java application) is impacted if a change is to be made to a particular variable / method / class?” with more accuracy compared to the existing tools. It displays the number of lines affected, classes and methods which are going to be affected, if we perform the requested change by considering the data dependency, control dependency and the semantic dependency. Thus the tool helps the developer to identify the impact set and minimizes the human errors and also saves time during the Maintenance phase.

scholarly journals Modular change impact analysis in factory systems

2020 ◽  
Vol 14 (4) ◽  
pp. 445-456
Author(s):  
Harald Bauer ◽  
Paul Haase ◽  
Fabian Sippl ◽  
Robert Ramakrishnan ◽  
Johannes Schilp ◽  
...  
Keyword(s):  
Change Management ◽  
Manufacturing System ◽  
Impact Analysis ◽  
Life Cycles ◽  
Manufacturing Companies ◽  
Change Impact Analysis ◽  
Current Production ◽  
Change Impact ◽  
The Individual ◽  
Individual Design

Abstract Shorter product innovation cycles, high variant products, and demand fluctuation, as well as equipment life cycles and technology life cycles force manufacturing companies to regularly change their manufacturing system. In order to address this challenge, an efficient and structured change management is required. As change causes and factory elements are connected via a complex network of relations and flows, an essential step in change management is the evaluation of considered adjustments with regard to their effects on the current production system. Depending on the context of the application, change impact analysis must process specific inputs and deliver different results. Current approaches, however, each focus only on selected aspects of the versatility of change effects. To address this challenge, this paper presents a modular approach for the individual design of change impact analysis.

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