Title An Empirical Study on Neophytes of Stack Overflow: How welcoming the community is towards them

Members Suzad Mohammad, Abdullah Al Jubair, Zahin Raidah Maisha

Description Stack Overflow has become a well-known Q&A platform for programmers with a rapidly expanding community of new users. However, a considerable portion of these new users claim to face hostile environments which is a major concern and hindrance towards the enhancement of a skillful community. In our work, we investigate this group of users and term them as “Neophytes”, binding conditions of either being a registered user of not more than 45 days or having a reputation less than or equal to 50. We organized our research work into two research questions where we investigate whether neophytes actually face hurdles in Stack Overflow and if so, identify the reasons for it with both qualitative and quantitative analysis. We find that: 1) Yes, Neophytes face hurdles in Stack Overflow; 2) The reasons for having a hard time are harsh moderation of posts, negligence of the posts, Deletion or Closing of posts, Downvoting without providing any proper reasoning etc. Our findings can be used to guide in future works where we observe the reaction of neophytes in adverse situations and recommend some steps for positive change to the community.
 

Title Topic-wise Difficulty based Questions Recommendation to users on StackOverflow

Members Maliha Noushin Raida, Zannatun naim sristy, Sheikh Moonwara Anjum Monisha, Nawshin Ulfat

Description Among all the questions that arise on Stack Overflow on a regular basis it is both difficult and time consuming to find a convenient question which a user can answer properly. Stack Overflow provides a tag filtering system in this essence but it doesn’t provide any mechanism to recommend questions to a user according to their frequent working domains and expertise level. Now we are going to implement a method that will classify questions in different difficulty levels and more granular level of topics when a question arises and notifies any user according to his frequently answered question which includes both his interest and expertise level.
 

Title Sentiment Analysis in Software Development

Members Muhtasim Abid, Md. Zubair Rahman Tusar, Sadat Bin Sharfuddin

Description will be updated
 

Title A Qualitative Study of DevOps Usage in the industries of Bangladesh

Members Mahir Ashraf Emad, H.M. Raihan Evan, Anirban Tasfin

Description will be updated
 

Title Study of performance improvement in web application

Members Shah Eftakher Sazid, Saad Bin Johir, Tasnim Jarin Afra

Description will be updated