Siddikjon Gaibullojonovich Abduganiev

Work place: Lecturer, Khujand Polytechnic Institute of Tajik Technical University named after academician M.S. Osimi, 735700 Khujand, Tajikistan



Research Interests: Software, Software Development Process, Software Engineering, Software Organization and Properties


Siddikjon G. Abduganiev obtained his Master’s Degree of Science in Systems Engineering with honors from the Khujand branch of the Technological University of Tajikistan (KBTUT) in 2007, Khujand city, Tajikistan. Until 2012, after university graduation, he has worked as a junior and senior lecturer in KBTUT and the Khujand Polytechnic Institute of the Tajik Technical University (KPITTU) in the departments of Computer Programming and Information Technologies and Higher Mathematics and Informatics, respectively. At the present time, he is pursuing a Ph.D. degree in Business Informatics at the Johannes Kepler University Linz, Austria. His core research areas are software developing and testing. He has published and presented around twenty research papers in national and international conferences and peer reviewed journals.

Author Articles
Towards Automated Web Accessibility Evaluation: A Comparative Study

By Siddikjon Gaibullojonovich Abduganiev

DOI:, Pub. Date: 8 Sep. 2018

With each passing day, the Web is becoming increasingly important in our lives. Hence, the need of making it more accessible to everyone, especially for the disabled and elderly spurred a great interest in automated tools, the total registered number of which has been continuously increasing and reached from forty-five software bids in 2014 to ninety-three in 2017. The purpose of this empirical research is to assess and compare eight popular and free online automated Web accessibility evaluation tools (AWAETs) such as AChecker, Cynthia Says, EIII Checker, MAUVE, SortSite, TAW, Tenon and WAVE with regard to the WCAG 2.0 conformance. As a result, significant differences were observed in terms of tool’s coverage (a maximum of 32.4%), completeness (ranges between 10% and 59%), correctness (an average of 70.7%), specificity (reaches 32%), inter-reliability (lies between 1.56% and 18.32%) and intra-reliability (the acceptable score), validity, efficiency and capacity. These eight criteria can help to determine a new role played by modern AWAETs as dependent methods in Web accessibility evaluation. Moreover, consequences of relying on AWAETs alone are quantified and concluded that applying such approaches is a great mistake since subjective and less frequent objective success criteria (SC) failed to be automated. However, using a good combination of AWAETs is highly recommended as overall results in all the mentioned quality criteria are maximized and tools could definitely validate and complete each other. Ultimately, integrating automated methods with the others is ideal and preferably at an early stage of the website development life cycle. The study also provides potential accessibility barriers that make websites inaccessible, challenges AWAETs are currently facing, nineteen pros and fourteen cons and fifteen improvement recommendations for the existing and next generation of AWAETs. Fundamentally, achieving the objectives of this study was possible due to the elaboration and implementation of a new five-phased methodology named as “5PhM-for-AWAEMs” for successful selection, evaluation and/or comparison of AWAEMs. In addition to providing detailed descriptions of the estimation process, this methodology represents eleven key criteria for effective selection of suitable AWAEMs and necessary numbers of web pages and expert evaluators for acceptable, normal or ideal assessment.

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