Generation and Optimization of Test cases for Object-Oriented Software Using State Chart Diagram

TL;DR

This paper presents an optimization method for generating and minimizing test cases from state chart diagrams to improve coverage while reducing testing time and costs in object-oriented software.

Contribution

It introduces a novel approach to automatically generate and optimize test cases from state charts, enhancing coverage and reducing testing effort.

Findings

Test cases cover transition, path, and action criteria.

Test suite is minimized based on node coverage.

Case study demonstrates effectiveness on ATM system.

Abstract

The process of testing any software system is an enormous task which is time consuming and costly. The time and required effort to do sufficient testing grow, as the size and complexity of the software grows, which may cause overrun of the project budget, delay in the development of software system or some test cases may not be covered. During SDLC (software development life cycle), generally the software testing phase takes around 40-70% of the time and cost. State-based testing is frequently used in software testing. Test data generation is one of the key issues in software testing. A properly generated test suite may not only locate the errors in a software system, but also help in reducing the high cost associated with software testing. It is often desired that test data in the form of test sequences within a test suite can be automatically generated to achieve required test coverage. This paper proposes an optimization approach to test data generation for the state-based software testing. In this paper, first state transition graph is derived from state chart diagram. Then, all the required information are extracted from the state chart diagram. Then, test cases are generated. Lastly, a set of test cases are minimized by calculating the node coverage for each test case. It is also determined that which test cases are covered by other test cases. The advantage of our test generation technique is that it optimizes test coverage by minimizing time and cost. The proposed test data generation scheme generates test cases which satisfy transition path coverage criteria, path coverage criteria and action coverage criteria. A case study on Automatic Ticket Machine (ATM) has been presented to illustrate our approach.