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Senior Software Developer (Office Based)

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Senior Software Developer (Office Based) - Eastern Cape Gqebera

Senior Software Developer (Office Based) - Eastern Cape Gqebera
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Intermediate Software Developer (Office Based)

Intermediate Software Developer (Office Based)
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Port Elizabeth , Eastern Cape , South Africa , Software Performance , Software Development Fundamentals , Software Testing , Software Architecture Design , Software Development , Software Maintenance , Accomplishes Department , Software Developer , Software Documentation , National Diploma In Information Technologies Or , Software Algorithm Design , Intermediate Software , Intermediate Developer , Architecture Design , Information Technologies ,

Intermediate Software Developer (Office Based) - Eastern Cape Gqebera

Intermediate Software Developer (Office Based) - Eastern Cape Gqebera
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Port Elizabeth , Eastern Cape , South Africa , Accomplishes Department , Software Maintenance , National Diploma In Information Technologies Or , Software Developer , Software Development Fundamentals , Software Development , Software Algorithm Design , Software Documentation , Software Testing , Software Performance , Software Architecture Design , Intermediate Software , Intermediate Developer , Architecture Design , Information Technologies ,

"A framework for conditional statement technical debt identification an" by Abdulaziz Alhefdhi, Hoa Khanh Dam et al.

Technical Debt occurs when development teams favour short-term operability over long-term stability. Since this places software maintainability at risk, technical debt requires early attention to avoid paying for accumulated interest. Most of the existing work focuses on detecting technical debt using code comments, known as Self-Admitted Technical Debt (SATD). However, there are many cases where technical debt instances are not explicitly acknowledged but deeply hidden in the code. In this paper, we propose a framework that caters for the absence of SATD comments in code. Our Self-Admitted Technical Debt Identification and Description (SATDID) framework determines if technical debt should be self-admitted for an input code fragment. If that is the case, SATDID will automatically generate the appropriate descriptive SATD comment that can be attached with the code. While our approach is applicable in principle to any type of code fragments, we focus in this study on technical debt hidde ....

Self Admitted Technical Debt , Self Admitted Technical Debt Identification , Conditional Statements , Machine Learning , Self Admitted Technical Debt , Software Analytics , Software Documentation , Software Quality ,