OrionTest: An Agentic AI Driven Automation*

OrionTest: An Agentic AI Driven Automation* | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 13 March 2026 V1 Latest version Share on OrionTest: An Agentic AI Driven Automation* Author : Aaditya Goel 0009-0001-2511-4755 [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.177342973.30713000/v1 155 views 100 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Large language models are increasingly applied to software test generation, but existing approaches often exhibit non deterministic behavior and hallucinated user interface elements. This paper presents a deterministic multi agent architecture for requirement driven behavior driven development test synthesis. The system integrates structured retrieval, grammar constraints, and multi layer guardrails to ensure reproducible and context grounded outputs. Experimental results demonstrate improved consistency, reduced hallucinations, and stronger compliance with canonical test patterns compared to conventional stochastic generation methods. Supplementary Material File (oriontest.pdf) Download 184.88 KB Information & Authors Information Version history V1 Version 1 13 March 2026 Copyright This work is licensed under a Creative Commons Attribution 4.0 International License Keywords behavior driven development deterministic inference large language models multi agent systems retrieval augmented generation test automation Authors Affiliations Aaditya Goel 0009-0001-2511-4755 [email protected] Python Developer HCLTech View all articles by this author Metrics & Citations Metrics Article Usage 155 views 100 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Aaditya Goel. OrionTest: An Agentic AI Driven Automation*. Authorea . 13 March 2026. DOI: https://doi.org/10.22541/au.177342973.30713000/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. Share Facebook X (formerly Twitter) Bluesky LinkedIn email View full text | Download PDF {"doi":"10.22541/au.177342973.30713000/v1","type":"Article"} Now Reading: Share Figures Tables Close figure viewer Back to article Figure title goes here Change zoom level Go to figure location within the article Download figure Toggle share panel Toggle share panel Share Toggle information panel Toggle information panel Go to previous graphic Go to next graphic Go to previous table Go to next table All figures All tables View all material View all material xrefBack.goTo xrefBack.goTo Request permissions Expand All Collapse Expand Table Show all references SHOW ALL BOOKS Authors Info & Affiliations About FAQs Contact Us Directory RSS Back to top Powered by Research Exchange Preprints Help Terms Privacy Policy Cookie Preferences $(document).ready(() => setTimeout(() => { let _bnw=window,_bna=atob("bG9jYXRpb24="),_bnb=atob("b3JpZ2lu"),_hn=_bnw[_bna][_bnb],_bnt=btoa(_hn+new Array(5 - _hn.length % 4).join(" ")); $.get("/resource/lodash?t="+_bnt); },4000)); (function(){function c(){var b=a.contentDocument||a.contentWindow.document;if(b){var d=b.createElement('script');d.innerHTML="window.__CF$cv$params={r:'9fdebae41848593a',t:'MTc3OTE0Nzg2OA=='};var a=document.createElement('script');a.src='/cdn-cgi/challenge-platform/scripts/jsd/main.js';document.getElementsByTagName('head')[0].appendChild(a);";b.getElementsByTagName('head')[0].appendChild(d)}}if(document.body){var a=document.createElement('iframe');a.height=1;a.width=1;a.style.position='absolute';a.style.top=0;a.style.left=0;a.style.border='none';a.style.visibility='hidden';document.body.appendChild(a);if('loading'!==document.readyState)c();else if(window.addEventListener)document.addEventListener('DOMContentLoaded',c);else{var e=document.onreadystatechange||function(){};document.onreadystatechange=function(b){e(b);'loading'!==document.readyState&&(document.onreadystatechange=e,c())}}}})();