Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

The complexities of cyber physical systems development are mapping with controlling software in the modern engineering. Software testing are major key role in the modern engineering. The expected outcome from the test case suite is an important source for testing the software coding. Test results ensure the quality with the correctness of the developed software. The modification of the software source code has led to a change in the expected outcome in the regression testing. Validating a large number of test cases multiple times can be a high execution time and development cost. The methodology has been proposed for the selection of test paths during regression testing. The selected paths are covering new expected outcomes in the modified software program, thereby reducing the testing time. Regression test path selection methodology is based on Jaccard similarity mapping of control flow graph (CFG) and artificial bee colony (ABC) algorithm to find out the new test path which is not tested in the older version of the software programming. Our experiments show that the proposed approach identifies the new test path for test case generation during regression testing. The fault detection capability is high compared with structural novel test path selection methodology. Code coverage criteria for the modified software programs show high effectiveness with less test path selection.

Department of Commerce

School of Social Sciences & Languages

Vellore Campus

Innovations in Computational Intelligence and Computer Vision

Regression Test Case Optimization Using Jaccard Similarity Mapping of Control Flow Graph

Interconnecting different wireless sensor and actuator network in the real-time systems are more demanding for testing. High capability is needed to enable efficient methodologies for testing. The major source of effective testing is the identification of test cases. Programming instruction based test case generation has not well suitable for Arduino real-time systems, that an open statement in the research community. This paper introduces a functional block diagram based test case generation framework to facilitate the functional evaluation of Arduino real-time systems. It makes from the functional block diagram. First, block diagrams are converted to the Event Sequence Graph, then the event node is minimized, the test cases are generated minimized event. The presented methodology has validated with the Arduino programming language. This proposed approach quantified with five sensors based Arduino real-time system experiments shows that based on the validated test cases; the development time and cost of the Arduino real-time systems have dynamically reduced.

TRENDS IN SCIENCES

Test Case Generation for Arduino Programming Instructions using Functional Block Diagrams

Database-centric representation is a vital subfield of cyber-physical systems in healthcare. Medical <a href="https://www.sciencedirect.com/topics/computer-science/system-guideline">guideline systems</a> have the ultimate objective of improving the safety of the patient. COVID-19 was recognized as a pandemic in March, 2020 by the World Health Organization. A recent study shows the importance of the rapid medical guidelines system in the medical field. Safe and effective patient care is a significant challenge during the COVID-19 pandemic. The excellent knowledge and experiences patients care about are required in the nation’s developed places and as essential effective proper treatments for critical patients in the rural areas when it comes to an emergency. Medical guideline systems can help to improve patient care. The research community of system software development in healthcare is more focused on cyber-physical systems. Restricting the development environment and reducing the flexibility of design by enforcing a specific software platform with less database provides fewer quality systems in healthcare. To improve patient care by assisting the medical professional’s detailed design with the validation of the systems at the design level are required. This research focuses on database-centric software development steps with the validation technique of the cyber-physical system for COVID-19. In particular, the study focuses on the medical guidelines system development process with validation and verification at the design level. The development of rapid medical guideline systems for COVID-19 has been discussed with database-centric modeling with the knowledge that expects validation and <a href="https://www.sciencedirect.com/topics/computer-science/artificial-intelligence">artificial intelligence</a> verification. Thus the medical professional’s study-based design of the cyber-physical system for COVID-19 can reduce development time, cost of deployment, testing, and maintenance during the repaid development process in the global pandemic period.

Cyber-Physical Systems

Rapid medical guideline systems for COVID-19 using database-centric modeling and validation of cyber-physical systems

Drip irrigation is a type of irrigation system in agriculture. India has produced 1.6 million tonnes of horticulture produces through precision agriculture. Many irrigation techniques are available in agriculture, drip irrigation one of the efficient irrigation technique for horticulture. Applying water directly to the root zone has the main advantage for drip irrigation. The commercial drip irrigation system available on the market are made to control based on the manual type with time duration. The current system requires human resources to control and monitor the irrigation process. The lake of monitoring may result in the root zone to be wetting more than the required. Lake of data collection from the root zone and monitoring the irrigation with these electro-mechanical devices is a big challenge. To improve the irrigation efficiency the proposed approach design with an embedded system for drip irrigation to monitor the irrigation process in horticulture. The micro controller and sensor-based remote sensing drip irrigation system have tested for the durability of the components in the horticulture field. The data collection and overall functionally of the device to achieve successful results in the prototype model of remote sensing drip irrigation system.

Journal of Critical Reviews

HORTICULTURE AND PLANTATION CROP USING REMOTE SENSING DRIP IRRIGATION SYSTEM HORTICULTURE AND PLANTATION CROP USING REMOTE SENSING DRIP IRRIGATION SYSTEM

The development of the Internet provides opportunities for new types of communications between virtual assistant and human. The technology which is mainly used in the communications is chatbot. A chatbot is a simulated computer program that enabled human conversation by the Internet. The virtual assistant is currently used for a variety of purposes. The chatbot database flow is the important activity for the development of software for the virtual assistant. The process of chatbot testing is based on the well-formalized test cases. The test cases are based on the chatbot trace in the database. Trace path identification during the development of the chatbot software is the challenging process. This paper presents the methodology to identify the test cases for virtual assistant using chatbot database flow-oriented specification. Chatbot database flow is one of the few specification languages supporting for formal description into an applied specification. The database specification divided into several of specification trace using the proposed algorithm. Finally, the chatbot intent trace has provided the path for software test case generation. The experiments show trace path-based test cases that have yielded the effective coverage criteria in the chatbot software development.

Soft Computing for Problem Solving

Test Path Identification for Virtual Assistants Based on a Chat bot Flow Specifications

In the current researching and Industrial fields have focused on much-attracted technology is chatbots. Informal agents could provide an appropriate and economic environment in online between the users and service provider. Due to a large number of datasets based on the digital tools, the user’s queries based satisfying responses providing are critical in the service oriented chatbots. The successful human-chatbots interaction must be apparent and reacted by the user. This paper presents a technique to generate the test path for effective chatbot software testing. Identification of relations among the chatbots, transformations, and boundaries of the existing methodology are described. This experimental results associated with four peak chatbot response methodologies along with technology specifications. An in-depth experimental of proposed chatbot test path generation methodology, provides the experimental results and comparison.

International Journal of Engineering and Advanced Technology Regular Issue

Sustainable Test Path Generation for Chatbots using Customized Response

The growth and pervasiveness of the mobile phone usage provides opportunities for new types of communications. The technology is mainly used in the communications between human and electronic assistant is chatbot. A chatbot is a simulated data based that enabled human conversation. The electronic assistant is currently used for a variety of purposes. The chatbot database flow is the important activity for the development of electronic assistants. The process of chatbot testing is based on the well-formalized test paths. The test paths are based on the chatbot trace in the database. Trace path identification during the development of the chatbot software is the challenging process. This paper presents the methodology to identify the test path for electronic assistants using natural language conversation flow chart. Chatbot database flow is one of the few specification languages supporting for formal description into an applied specification. The database natural language conversation flow chart divided into several trace using the proposed algorithm. Finally, the chatbot intent trace has provided the path for software test case generation. In the experiments shows testing based on the generated test paths has yielded the effective coverage criteria in the chatbot software development.&nbsp;

International Conference on Sustainable Computing in Science, Technology & Management (SUSCOM-2019)

Software test path identification for virtual assistants based on natural language conversation flow chart

2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)

A Study on Transaction Specification based Software Testing for Internet of Things

Test Path Identification for Internet of Things using Transaction Based Specification

Software development life cycle (SDLC) contains different phases. Software testing life cycle (STLC) has to be spent more time and cost during the development of embedded system software. Test cases are paly the major role in the embedded system software testing. Design specifications based automated test case has the added benefit of permitting test cases to be accessible timely in the software development life cycle. The validation process has reduced the effort in SDLC. Specification designs of the embedded system offer effective evidence during the software development process. Specification path based validation of automated test cases is improving the productivity of embedded system software. This paper presents a method for validation of automated test cases using specification path of embedded system. It makes three major processes. First, specification diagrams are converted to event flow graph and then nodes and edges are minimized using timed event flow path, finally the automated test cases are validated with the flow path of the EFG. This paper has accessible our proposed method with examples of real-time embedded system software.

Department of Smart Computing

School of Information Technology and Engineering

Journal of Statistics and Management Systems, Issue on Machine Learning and Software Systems

Validation of Automated Test Cases with Specification Path

International Journal of Intelligent Engineering and Systems

Test Case Generation for Real-Time System Software Using Specification Diagram

Software development process contains various phases. More efforts and cost have to be spent in the testing phases. Test case generation at cluster level in Software Development Life Cycle (SDLC) can be the best optimised solution for reducing effort and cost. The efficient test cases will play a vital role in reducing the effort in Software Testing Life Cycle (STLC). Unified Modeling Language (UML) designs provide valid information for software development process. UML interaction diagram based test case generation can be used to improve the quality in software. This paper presents a method for test case generation from UML interaction diagram at the cluster level. It makes three major processes. First, interaction diagrams are converted to data structure stack, and then the stack stimulus are minimized using boundary testing, and finally the test case is generated from minimized stack. This paper has presented our technique with some real time examples of embedded system software. © School of Engineering, Taylor’s University.