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An Empirical Study Of Obsolete Answers On Stack Overflow

AN EMPIRICAL STUDY OF OBSOLETE ANSWERS ON STACK OVERFLOW

  • Project Code :
  • TCREJA19_109
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AN EMPIRICAL STUDY OF OBSOLETE ANSWERS ON STACK OVERFLOW

An Empirical Study of Obsolete Answers on Stack Overflow

Abstract

Technology questionnaire websites are becoming an important and popular platform for knowledge sharing and learning. They have revolutionized how users seek knowledge on the Internet. When users encounter unsolvable problems, they often try to search for solutions through search engines. Stack Overflow enriches software engineering knowledge. However, as time passes, the specific knowledge in answers becomes obsolete. If such obsolete answers are not clearly identified, they can be misleading or unanswered and cause unexpected problems (e.g., using the old security protocol). In this paper, we examine how cognitive answers are obsolete and identify the characteristics of such obsolete answers. We found this: 1) More than half (58.4%) of obsolete users were already obsolete when they were first posted. 2) When looking at an obsolete answer, only a small percentage (20.5%) of such answers are always updated. 3) Answers to questions in some tags (e.g., node.js, Ajax, android, and object-c) are more likely to be obsolete. Our findings suggest that stack overflow mechanisms must be developed to encourage the whole community to handle answers (to avoid obsolete answers), and answer explorers are encouraged to go through all the information (e.g., comments) in the answer threads.

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