Profile based recommendation of code reviewers
نویسندگان
چکیده
منابع مشابه
Recommendation based on Mining Product Reviewers’ Preference Similarity Network
Most products in e-commerce are with high cost (e.g., digital cameras, computers) and hence less likely experienced by users. Thus, the traditional recommender techniques (such as user-based collaborative filtering and content-based methods) are not applicable, because they largely assume that the users have prior experiences with the items. The “new user” is hence a typical phenomenon and chal...
متن کاملUser Profile Based Research Paper Recommendation
Recommender Systems (RSs) are software tools and techniques providing suggestions for items to be of use to a user. [1] For a recommender system to be effective, it has to have a comprehensive and appropriately catalogued repository of resources. Also, it has to be accurate in understanding the need of the user, and basically has to correctly profile the user. Ideally, one needs to take into co...
متن کاملMaximum Margin Code Recommendation
Code recommender systems ease the use and learning of software frameworks and libraries by recommending calls based on already present code. Typically, code recommender tools have been based on rather simple rule based systems. On the other hand recent advances in Recommender Systems and Collaborative Filtering have been mainly focused on rating data. While many of these advances can be incorpo...
متن کاملProfile-based recommendation: A case study in a parliamentary context
In the context of e-government and more specifically that of parliament, this paper tackles the problem of finding Members of Parliament (MPs) according to their profiles which have been built from their speeches in plenary or committee sessions. The paper presents a common solution for two problems: firstly, a member of the public who is concerned about a certain issue might want to know who t...
متن کاملImproving Code Review by Predicting Reviewers and Acceptance of Patches
Code reviews are an important part of software development because they help to increase code quality and reliability. For this paper, we observed the review processes of two open-source projects, Firefox and Mozilla Core. We noticed that code reviews are mostly organized manually. In particular, finding appropriate reviewers is a complex and time-consuming task and, surprisingly, impacts the r...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Intelligent Information Systems
سال: 2017
ISSN: 0925-9902,1573-7675
DOI: 10.1007/s10844-017-0484-1