Identification and Prioritization of DevOps Success Factors Using Bipolar Complex Fuzzy Setting With Frank Aggregation Operators and Analytical Hierarchy Process
نویسندگان
چکیده
DevOps (“development and operations”) is a dominant collaborative organizational effort to computerize simultaneously the supply of software strategy with theme enhance features. The usage technique not an easy task as there various vagueness involved it. main goal this analysis employ Frank t-norm t-conorm (which accommodating class norms conorms due parameters become more flexible in combining data appropriate address real-life issues) environment bipolar complex fuzzy theory handle procedures. Moreover, we define Frank’s operational laws their result employing BCF information. Then, establish, (BCF) weight averaging (BCFFWA), ordered (BCFFOWA), hybrid (BCFFHWA), geometric (BCFFWG), (BCFFOWG), (BCFFHWG) operators assess certain properties results. Furthermore, find major factors that positively influence organizations. In presence prevailing information, nineteen were diagnosed. diagnosed features moreover authorized by intellectuals via hypothetical Finally, analytical hierarchy process (BCFAHP) invented prioritize classification success final ranking mentioned “DevOps security pipeline”, “use system orchestration”, “attempt matrix organization transparency” are beneficial ranked for valuable utilization techniques. compare existing theories improve worth approaches.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2022
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2022.3190611