Boundary Value Analysis for Input Variables with Functional Dependency

Software in today’s world is used more and in different ways as well than ever before. From microwaves and vehicles to space rockets and smart cards. Usually, a software programmer goes through a certain process to establish a software that will follow a given specification. Despite the hard work of the programmer, sometimes they make mistakes or sometimes they forget to include all the possibilities of the question for which they are writing the program, which is very humanly in nature. And for those mistakes, a testing unit is always there. There are numerous techniques of Software Testing, one of which is Boundary Value Analysis. A modified version of Boundary Value Analysis using input parameters with functional dependency is proposed in this work. The idea is derived from the inter dependency of functions among the input parameters. With this modified algorithm, an automated testing tool is created and implemented. This testing tool shows the advantages of the modified algorithm developed over the Functional Tree Approach and reduces a significant amount of test cases that leads to an exhaustive testing. This modified method will test almost every possible required test case increasing the system’s efficiency. This method will be a very good help for any product based company saving a huge amount of money and time. Generalized BVA generates 5*n number of test cases where n is number of variables while Function Tree method generates the highest of all three that is n*5^(n-1) and the modified approach generates 7*n + k number of test cases where k is the number of mutants killed at each step. So, it shows that the number of test cases in case of modified algorithm is significantly lower than the Function Tree algorithm while almost similar as regular BVA but it covers more functionalities and feature

A Hierarchical Core Reference Ontology for New Technology Insertion Design in Long Life Cycle, Complex Mission Critical Systems

Organizations, including government, commercial and others, face numerous challenges in maintaining and upgrading long life-cycle, complex, mission critical systems. Maintaining and upgrading these systems requires the insertion and integration of new technology to avoid obsolescence of hardware software, and human skills, to improve performance, to maintain and improve security, and to extend useful life. This is particularly true of information technology (IT) intensive systems. The lack of a coherent body of knowledge to organize new technology insertion theory and practice is a significant contributor to this difficulty. This research organized the existing design, technology road mapping, obsolescence, and sustainability literature into an ontology of theory and application as the foundation for a technology design and technology insertion design hierarchical core reference ontology and laid the foundation for body of knowledge that better integrates the new technology insertion problem into the technology design architecture