A Monolithic Program vs. Modifiability: Enhancing a Visual Data Flow Program with Object-Oriented Techniques

2009 ◽  
Author(s):  
Maija Marttila-Kontio ◽  
Marko Hassinen ◽  
Mikko Kontio
Keyword(s):  
Data Flow ◽  
Object Oriented ◽  
Visual Data

Information Systems Analysis with FOOM

2011 ◽  
pp. 178-229
Author(s):  
Peretz Shoval
Keyword(s):  
Information Systems ◽  
Systems Analysis ◽  
Data Flow ◽  
Functional Model ◽  
Object Oriented ◽  
Flow Diagram ◽  
Class Diagram ◽  
Data Flow Diagram ◽  
Data Objects

This chapter elaborates on the activities and products of the analysis stage with functional and object oriented methodology (FOOM). The products of this stage include a data/objects model in the form of an initial class diagram, and a functional model in the form of hierarchical object oriented Data flow diagram (OO-DFDs). The two diagram types are synchronized in order to guarantee the correctness and completeness of the two models. The chapter presents various examples of diagrams of both types.

Automation of Data Flow Class Testing Using hybrid Evolutionary Algorithms

2019 ◽  
Vol 12 ◽  
Author(s):  
Neetu Jain ◽  
Rabins Porwal
Keyword(s):  
Data Flow ◽  
Heuristic Algorithms ◽  
Hybrid Approach ◽  
Object Oriented ◽  
Structural Testing ◽  
Test Cases ◽  
Class Testing ◽  
Data Flow Testing ◽  
Hybrid Evolutionary Algorithms ◽  
Better Than

Background: Software testing is a time consuming and costly process. Recent advances in complexity of software have gained attention among researchers towards the automation of generation of test data. Objective: This paper focuses on the structural testing of object oriented paradigm based software and proposes a hybrid approach to automate the class testing applying heuristic algorithms. Method:The proposed algorithm performs data flow testing of classes applying all def-uses adequacy criteria by automatically generating test cases. A nested 2-step methodology is applied using meta-heuristic genetic algorithm and its two variant (GA-variant1 and Ga-variant2) to produce optimized method sequences. Results: An experiment is performed applying proposed algorithm on six test classes. The results suggest that proposed approach with GA-variant1 is better than other techniques in terms of Average d-u coverage and Average iterations.

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