The Role of Automation in Reducing Testing Time for Banking Systems
DOI:
https://doi.org/10.55544/ijrah.1.1.12Keywords:
Software Testing, Banking and Financial Industry, Selenium Automation Tool, Test Automation, Increasing Digitization, Software Testing Team, Manual Testing, QualityAbstract
Software testing is an activity designed to assess a program's quality and make improvements by finding errors and issues. Testing is a technique that is used to identify software flaws and confirm that the program has reached a certain level of quality in relation to certain characteristics. Players in the banking and financial sectors are up against several internal and external obstacles. They must concentrate on generating value for customers by emphasizing cost effectiveness and operational efficiency if they want to thrive. Automation is the only realistic possibility for doing this in the current economic and technological context. The adoption was made with cost-cutting and increased output in mind. Financial services is no exception to the major trends that are now reshaping many businesses, including growing digitalization, the widespread use of mobile phones, and simple internet access. Automation testing is a major factor in increasing the software testing team's test efficiency. Because it is not repeatable, inconsistent, or covered enough, manual testing may not always be useful. The software industry uses test automation as a solution to this. This essay will cover test automation, including its requirements, methods, applications, advantages over manual testing, and how to choose which test cases to automate. As a result, there are several testing tools on the market; we'll also talk about the Selenium automation tool.
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Păunescu, C.; Argatu, R. Critical functions in ensuring effective business continuity management. Evidence from Romanian companies. J. Bus. Econ. Manag. 2020, 21, 497–520.
Shen, Y.; Guo, D.; Long, F.; Mateos, L.A.; Ding, H.; Xiu, Z.; Hellman, R.B.; King, A.; Chen, S.; Tan, C.H. Robots Under COVID-19 Pandemic: A Comprehensive Survey 2021. IEEE Access 2021, 9, 1590–1615.
Mbunge, E.; Akinnuwesi, B.; Fashoto, S.G.; Metfula, A.S.; Mashwama, P. A critical review of emerging technologies for tackling COVID-19 pandemic. Hum. Behav. Emerg. Technol. 2021, 3, 25–39.
Odhiambo, D. (2019, May 9). System design in software development. Medium. Retrieved October 3, 2021, from
Faculty, P. S. (2021b, May 25). Software Development Life Cycle Models and Methodologies | SDLC. H2kinfosys Blog.
Bullock, J.; Luccioni, A.; Pham, K.H.; Sin Nga Lam, C.; Luengo-Oroz, M. Mapping the Landscape of Artificial Intelligence Applications against COVID-19. J. Artif. Intell. Res. 2020, 69, 807–845.
Javaid, M.; Haleem, A.; Vaishya, R.; Bahl, S.; Suman, R.; Vaish, A. Industry 4.0 technologies and their applications in fighting COVID-19 pandemic. Diabetes Metab. Syndr. Clin. Res. Rev. 2020, 14, 419–422.
Nadikattu, R.R. Information Technologies: Rebooting the World Activities during COVID-19. SSRN Electron. J. 2020.
Agarwal, S.; Punna, N.S.; Sonbhadraa, S.K.; Tanveerb, M.; Nagabhushana, P.; Soundra Pandianc, K.K.; Saxenad, P. Unleashing the power of disruptive and emerging technologies amid COVID-19. arXiv 2020, arXiv:2005.11507.
Ayehu, (Sept 2015). “Getting a leg up on competition with robotic process automation”,
Berruti,F., Emily, R., and Weinberg, A., (2017), “Transforming The Power of Automation in Banking” Mckinsey Financial services,
Bourne, V., (2017), “IT modernization: Critical to Digital transformation” Avanade, “Robotic Automation Process: Use it to Turbocharge Your Digital transform”.
Capgemini, (2018)., “Robotic process automation”.
Rakesh Agarwal and Nonika Bajaj “Automation testing- Applying Intelligence”, Proceedings of the 2nd National Conference Indiacom-2008 Computing for National Development, February08-08, 2008.
David Crowther, Peter Clarke, Examining Software Testing Tools, Dr. Dobb‟s Journal: Software Tools for the Professional Programmer, ISSN# 1044789X, Academic Search Premier, June 2005, Vol. 30, Issue 6.
Prof. (Dr.) V. N. Maurya, Er. Rajender Kumar “Analytical Study on Manual vs. Automated Testing Using with Simplistic Cost Model”, International Journal of Electronics and Electrical Engineering ISSN: 2277-7040 Volume 2 Issue 1 (January 2012).
Mayor, T. (2021, February 04). Fintech, explained. Retrieved June 11, 2021,
21. Kumar,P.G,Satish. Kulkarni, A. (2017) White paper, “Robotic Process Automation (RPA) to Accelerate mortgage processing”.
Lamberton, C., Brigo, D., Hoy, D. (2016), “Impact of Robotics, RPA and AI on the Insurance Industry: Challenges and Opportunities”,
NIIT, (2016), “Steering Innovation and Cost-Savings with Robotics Process Automation Technologies”.
Flick, U. (2014). An introduction to qualitative research (5th ed.). London: Sage Publications Ltd.
Gordon, J., Zhao, S., and Gretton, P. (2015). On productivity: concepts and measurement, Productivity Commission Staff Research Note, Canberra, February.
Hananu, B., Abdul-Hanan, A., and Haruna, A. (2015). Evaluation of the Effects of Information and Communications Technology (ICT) on Quality Customer Service Delivery in the Banking Industry: Evidence from Selected Banks in the Tamale Metropolis.
Haight, J., and Kecojevic, V. (2005). Automation vs. Human intervention: What is the best fit for the best performance? Process Safety Progress, 24(1), 45-51.
Hota, J. (2013). Growth of ATM Industry in India. CSI Communications, 23.
Joudaki, H., Rashidian, A., Minaei-Bidgoli, B., Mahmoodi, M., Geraili, B., Nasiri, M., and Arab, M. (2014). Using Data Mining to Detect Health Care Fraud and Abuse: A Review of Literature. Global Journal of Health Science, 7(1).
Miniati, R.; Dori, F.; Cecconi, G.; Gusinu, R.; Niccolini, F.; Gentili, B.G. HTA decision support system for sustainable business continuity management in hospitals. The case of surgical activity at the Univesity Hospital in Florence. Technol. Health Care 2013, 21, 49–61.
Houy, C.; Reiter, M.; Fettke, P.; Loos, P.; Hoesch-Klohe, K.; Ghose, A. Advancing Business Process Technology for Humanity: Opportunities and Challenges of Green BPM for Sustainable Business Activities. In Green Business Process Management; vom Brocke, J., Seidel, S., Recker, J., Eds.; Springer: Berlin/Heidelberg, Germany, 2012.
Geissdoerfer, M.; Bocken, N.M.P.; Hultink, E.J. Design thinking to enhance the sustainable business modelling process—A workshop based on a value mapping process. J. Clean. Prod. 2016, 135, 1218–1232.
Opitz, N.; Krüp, H.; Kolbe, L.M. Environmentally sustainable business process management—Developing a green BPM readiness model. In Proceedings of the PACIS 2014 Proceedings, Chengdu, China, 24–28 June 2014; p. 12.
Santhosh Palavesh. (2019). The Role of Open Innovation and Crowdsourcing in Generating New Business Ideas and Concepts. International Journal for Research Publication and Seminar, 10(4), 137–147. https://doi.org/10.36676/jrps.v10.i4.1456
Santosh Palavesh. (2021). Developing Business Concepts for Underserved Markets: Identifying and Addressing Unmet Needs in Niche or Emerging Markets. Innovative Research Thoughts, 7(3), 76–89. https://doi.org/10.36676/irt.v7.i3.1437
Palavesh, S. (2021). Co-Creating Business Concepts with Customers: Approaches to the Use of Customers in New Product/Service Development. Integrated Journal for Research in Arts and Humanities, 1(1), 54–66. https://doi.org/10.55544/ijrah.1.1.9
Santhosh Palavesh. (2021). Business Model Innovation: Strategies for Creating and Capturing Value Through Novel Business Concepts. European Economic Letters (EEL), 11(1). https://doi.org/10.52783/eel.v11i1.1784
Vijaya Venkata Sri Rama Bhaskar, Akhil Mittal, Santosh Palavesh, Krishnateja Shiva, Pradeep Etikani. (2020). Regulating AI in Fintech: Balancing Innovation with Consumer Protection. European Economic Letters (EEL), 10(1). https://doi.org/10.52783/eel.v10i1.1810
Challa, S. S. S. (2020). Assessing the regulatory implications of personalized medicine and the use of biomarkers in drug development and approval. European Chemical Bulletin, 9(4), 134-146.
D.O.I10.53555/ecb.v9:i4.17671
EVALUATING THE EFFECTIVENESS OF RISK-BASED APPROACHES IN STREAMLINING THE REGULATORY APPROVAL PROCESS FOR NOVEL THERAPIES. (2021). Journal of Population Therapeutics and Clinical Pharmacology, 28(2), 436-448. https://doi.org/10.53555/jptcp.v28i2.7421
Challa, S. S. S., Tilala, M., Chawda, A. D., & Benke, A. P. (2019). Investigating the use of natural language processing (NLP) techniques in automating the extraction of regulatory requirements from unstructured data sources. Annals of Pharma Research, 7(5), 380-387.
Challa, S. S. S., Chawda, A. D., Benke, A. P., & Tilala, M. (2020). Evaluating the use of machine learning algorithms in predicting drug-drug interactions and adverse events during the drug development process. NeuroQuantology, 18(12), 176-186. https://doi.org/10.48047/nq.2020.18.12.NQ20252
r Gupta, Sagar Shukla, Anaswara Thekkan Rajan, Sneha Aravind, 2021. "Utilizing Splunk for Proactive Issue Resolution in Full Stack Development Projects" ESP Journal of Engineering & Technology Advancements 1(1): 57-64.
Sagar Shukla. (2021). Integrating Data Analytics Platforms with Machine Learning Workflows: Enhancing Predictive Capability and Revenue Growth. International Journal on Recent and Innovation Trends in Computing and Communication, 9(12), 63–74. Retrieved from https://ijritcc.org/index.php/ijritcc/article/view/11119
Sneha Aravind. (2021). Integrating REST APIs in Single Page Applications using Angular and TypeScript. International Journal of Intelligent Systems and Applications in Engineering, 9(2), 81 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6829
Siddhant Benadikar. (2021). Developing a Scalable and Efficient Cloud-Based Framework for Distributed Machine Learning. International Journal of Intelligent Systems and Applications in Engineering, 9(4), 288 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6761
Siddhant Benadikar. (2021). Evaluating the Effectiveness of Cloud-Based AI and ML Techniques for Personalized Healthcare and Remote Patient Monitoring. International Journal on Recent and Innovation Trends in Computing and Communication, 9(10), 03–16. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/11036
Challa, S. S., Tilala, M., Chawda, A. D., & Benke, A. P. (2019). Investigating the use of natural language processing (NLP) techniques in automating the extraction of regulatory requirements from unstructured data sources. Annals of PharmaResearch, 7(5), 380-387.
https://doi.org/10.5281/zenodo.13268360
Dr. Saloni Sharma, & Ritesh Chaturvedi. (2018). Blockchain Technology in Healthcare Billing: Enhancing Transparency and Security. International Journal for Research Publication and Seminar, 10(2), 106–117. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/1475
Dr. Saloni Sharma, & Ritesh Chaturvedi. (2018). Blockchain Technology in Healthcare Billing: Enhancing Transparency and Security. International Journal for Research Publication and Seminar, 10(2), 106–117. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/1475
Saloni Sharma. (2020). AI-Driven Predictive Modelling for Early Disease Detection and Prevention. International Journal on Recent and Innovation Trends in Computing and Communication, 8(12), 27–36. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/11046
Fadnavis, N. S., Patil, G. B., Padyana, U. K., Rai, H. P., & Ogeti, P. (2020). Machine learning applications in climate modeling and weather forecasting. NeuroQuantology, 18(6), 135-145. https://doi.org/10.48047/nq.2020.18.6.NQ20194
Narendra Sharad Fadnavis. (2021). Optimizing Scalability and Performance in Cloud Services: Strategies and Solutions. International Journal on Recent and Innovation Trends in Computing and Communication, 9(2), 14–21. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/10889
Patil, G. B., Padyana, U. K., Rai, H. P., Ogeti, P., & Fadnavis, N. S. (2021). Personalized marketing strategies through machine learning: Enhancing customer engagement. Journal of Informatics Education and Research, 1(1), 9. http://jier.org
Bhaskar, V. V. S. R., Etikani, P., Shiva, K., Choppadandi, A., & Dave, A. (2019). Building explainable AI systems with federated learning on the cloud. Journal of Cloud Computing and Artificial Intelligence, 16(1), 1–14.
Vijaya Venkata Sri Rama Bhaskar, Akhil Mittal, Santosh Palavesh, Krishnateja Shiva, Pradeep Etikani. (2020). Regulating AI in Fintech: Balancing Innovation with Consumer Protection. European Economic Letters (EEL), 10(1). https://doi.org/10.52783/eel.v10i1.1810
Dave, A., Etikani, P., Bhaskar, V. V. S. R., & Shiva, K. (2020). Biometric authentication for secure mobile payments. Journal of Mobile Technology and Security, 41(3), 245-259.
Saoji, R., Nuguri, S., Shiva, K., Etikani, P., & Bhaskar, V. V. S. R. (2021). Adaptive AI-based deep learning models for dynamic control in software-defined networks. International Journal of Electrical and Electronics Engineering (IJEEE), 10(1), 89–100. ISSN (P): 2278–9944; ISSN (E): 2278–9952
Narendra Sharad Fadnavis. (2021). Optimizing Scalability and Performance in Cloud Services: Strategies and Solutions. International Journal on Recent and Innovation Trends in Computing and Communication, 9(2), 14–21. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/10889
Prasad, N., Narukulla, N., Hajari, V. R., Paripati, L., & Shah, J. (2020). AI-driven data governance framework for cloud-based data analytics. Volume 17, (2), 1551-1561.
Big Data Analytics using Machine Learning Techniques on Cloud Platforms. (2019). International Journal of Business Management and Visuals, ISSN: 3006-2705, 2(2), 54-58. https://ijbmv.com/index.php/home/article/view/76
Shah, J., Narukulla, N., Hajari, V. R., Paripati, L., & Prasad, N. (2021). Scalable machine learning infrastructure on cloud for large-scale data processing. Tuijin Jishu/Journal of Propulsion Technology, 42(2), 45-53.
Narukulla, N., Lopes, J., Hajari, V. R., Prasad, N., & Swamy, H. (2021). Real-time data processing and predictive analytics using cloud-based machine learning. Tuijin Jishu/Journal of Propulsion Technology, 42(4), 91-102
Secure Federated Learning Framework for Distributed Ai Model Training in Cloud Environments. (2019). International Journal of Open Publication and Exploration, ISSN: 3006-2853, 7(1), 31-39. https://ijope.com/index.php/home/article/view/145
Paripati, L., Prasad, N., Shah, J., Narukulla, N., & Hajari, V. R. (2021). Blockchain-enabled data analytics for ensuring data integrity and trust in AI systems. International Journal of Computer Science and Engineering (IJCSE), 10(2), 27–38. ISSN (P): 2278–9960; ISSN (E): 2278–9979.
DOI: 10.36227/techrxiv.171340711.17793838/v1
Challa, S. S. S., Tilala, M., Chawda, A. D., & Benke, A. P. (2019). Investigating the use of natural language processing (NLP) techniques in automating the extraction of regulatory requirements from unstructured data sources. Annals of Pharma Research, 7(5),
Challa, S. S. S., Tilala, M., Chawda, A. D., & Benke, A. P. (2021). Navigating regulatory requirements for complex dosage forms: Insights from topical, parenteral, and ophthalmic products. NeuroQuantology, 19(12), 15.
Vijay Kumar Reddy, Komali Reddy Konda(2021),“Unveiling Patterns: Seasonality Analysis of COVID-19 Data in the USA”, Keywords: COVID-19, Seasonality, SARS-CoV-2, Time Series Analysis, Environmental Factors, USA, Neuroquantology | October 2021 | Volume 19 | Issue 10 | Page 682-686|Doi: 10.48047/nq.2021.19.10.NQ21219
Vijay Kumar Reddy, Komali Reddy Konda(2021), “COVID-19 Case Predictions: Anticipating Future Outbreaks Through Data” Keywords: COVID-19, Case Predictions, Machine Learning, Time Series Forecasting, Pandemic Response, Epidemiological Modeling, NeuroQuantology | July 2021 | Volume 19 | Issue 7 | Page 461-466| doi: 10.48047/nq.2021.19.7.NQ21136
Vijay Kumar Reddy Voddi, Komali Reddy Konda(2021),“Spatial Distribution And Dynamics Of Retail Stores In New York City,” Pages: 9941-9948 Keywords: Retail Distribution, Urban Planning, Economic Disparities, Gentrification, Online Shopping Trends.https://www.webology.org/abstract.php?id=5248
T Jashwanth Reddy, Voddi Vijay Kumar Reddy, T Akshay Kumar (2018),” Population Diagnosis System,” Published in International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), Keywords: Apache Hadoop 1.2.1,Apache hive-0.12.0,Population Diagnosis System, My SQL. https://ijarcce.com/upload/2018/february-18/IJARCCE%2038.pdf
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