International Conference on Meta Heuristic Search Techniques, Applications in Software Testing aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Meta-Heuristic Algorithms and applications in automation software testing. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of automation testing. METASOFT-2022 will provide a forum that will bring together researchers, academia and practitioners from industry to meet and exchange their ideas and recent research achievements in all aspects of Meta Heuristic Search Techniques and Applications in Software Testing together with their applications in the contemporary world.

Call for Contributions

Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Meta-Heuristic Algorithms, Applications in Software Testing are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials

The program includes time allocated for networking, peer-to-peer discussions, and exploring the host city. We invite the participation of leading academic scientists, researchers and scholars in the domain of interest from around the world to submit original research contributions relating to all aspects of the following (But not limited to):

Algorithms:

• Renewable Energy.
• Swarm intelligence
• Ant colony optimization
• Particle swarm optimization
• Bees algorithm
• Evolutionary algorithms
• Genetic algorithm
• Genetic programming
• Evolutionary strategy
• Differential evolution
• Neural networks
• Fuzzy / neuro-fuzzy systems
• Harmonic search
• Simulated annealing
• Artificial immune systems
• Tabu search
• Memetic search

Multiobjective optimization in Software Testing:

• Regression Testing
• Continuous Integration
• Functional & GUI Testing
• Load Testing
• Unit Testing

Siksha 'O' Anusandhan (SOA) is a Deemed to be University situated in Bhubaneswar, Odisha. SOA was reaccredited by NAAC with an 'A' grade (highest grade under the old system) in 2015 for a period of 5 years. It was ranked as the 38th best National Institution, the 24th Best in University Category of NIRF and the Best Institution in Odisha by the MHRD through its NIRF Rankings in 2018.

ITER is the Faculty of Engineering and Technology of Siksha 'O' Anusandhan. It is located in Campus 1 of the SOA. ITER is the oldest constituent institute of the SOA, having seen light in 1997. It has grown from a fledgling campus with a single three storied building (Academic Block) to one of the best engineering campuses in Eastern India.