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Arsenic contamination in ground water and arsenicosis in Bangladesh
Arsenic contamination of ground water has been found in Rajarampur village in the Nawabgonj district of north-western Bangladesh. A recent survey has indicated that 11% of tubewell water containsExpand
Automatic summarization of API reviews
  • Gias Uddin, F. Khomh
  • Computer Science
  • 32nd IEEE/ACM International Conference on…
  • 30 October 2017
TLDR
We present two algorithms (statistical and aspect-based) to summarize opinions about APIs using both our proposed techniques and existing six off-the-shelf techniques. Expand
How API Documentation Fails
TLDR
Formal documentation can be a crucial resource for learning to how to use an API. Expand
CAT: a context-aware trust model for open and dynamic systems
TLDR
We present CAT, an interaction-based Context-Aware Trust model for open and dynamic systems by considering services as contexts. Expand
Temporal analysis of API usage concepts
TLDR
We propose Temporal API Usage Pattern Mining to detect API usage patterns in terms of their time of introduction into client programs. Expand
Mining API Aspects in API Reviews
With the proliferation of online developer forums as informal documentation, developers share their opinions about the APIs they use. While many developers refer to and rely on opinion-richExpand
Analyzing temporal API usage patterns
TLDR
We propose Temporal API Usage Mining to detect significant changes in API usage in the lifetime of a client program. Expand
Resolving API Mentions in Informal Documents
TLDR
We present a technique, ANACE, to automatically resolve API mentions in the textual contents of forum posts that are potential references to an API. Expand
Collaboration through computation: incorporating trust model into service-based software systems
TLDR
The open and dynamic nature of service-based software systems necessitates spontaneous and trustworthy interactions between collaborating entities. Expand
An empirical study of sentiments in code reviews
TLDR
We study empirically the impact of sentiment embodied within developers’ comments on the time and outcome of code review process. Expand
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