scholarly journals On integrating student empirical software engineering studies with research and teaching goals

2012 ◽  
Author(s):  
M. Galster ◽  
D. Tofan ◽  
P. Avgeriou
Keyword(s):  
Software Engineering ◽  
Empirical Software Engineering ◽  
Engineering Studies ◽  
Research And Teaching ◽  
Teaching Goals

Evaluating guidelines for reporting empirical software engineering studies

2007 ◽  
Vol 13 (1) ◽  
pp. 97-121 ◽  
Author(s):  
Barbara Kitchenham ◽  
Hiyam Al-Khilidar ◽  
Muhammed Ali Babar ◽  
Mike Berry ◽  
Karl Cox ◽  
...  
Keyword(s):  
Software Engineering ◽  
Empirical Software Engineering ◽  
Engineering Studies

scholarly journals An Organized Repository of Ethereum Smart Contracts’ Source Codes and Metrics

2020 ◽  
Vol 12 (11) ◽  
pp. 197
Author(s):  
Giuseppe Antonio Pierro ◽  
Roberto Tonelli ◽  
Michele Marchesi
Keyword(s):  
Software Engineering ◽  
Software Metrics ◽  
Source Code ◽  
Empirical Software Engineering ◽  
Specific Information ◽  
Smart Contracts ◽  
Data Set ◽  
Source Codes ◽  
Engineering Studies ◽  
Smart Contract

Many empirical software engineering studies show that there is a need for repositories where source codes are acquired, filtered and classified. During the last few years, Ethereum block explorer services have emerged as a popular project to explore and search for Ethereum blockchain data such as transactions, addresses, tokens, smart contracts’ source codes, prices and other activities taking place on the Ethereum blockchain. Despite the availability of this kind of service, retrieving specific information useful to empirical software engineering studies, such as the study of smart contracts’ software metrics, might require many subtasks, such as searching for specific transactions in a block, parsing files in HTML format, and filtering the smart contracts to remove duplicated code or unused smart contracts. In this paper, we afford this problem by creating Smart Corpus, a corpus of smart contracts in an organized, reasoned and up-to-date repository where Solidity source code and other metadata about Ethereum smart contracts can easily and systematically be retrieved. We present Smart Corpus’s design and its initial implementation, and we show how the data set of smart contracts’ source codes in a variety of programming languages can be queried and processed to get useful information on smart contracts and their software metrics. Smart Corpus aims to create a smart-contract repository where smart-contract data (source code, application binary interface (ABI) and byte code) are freely and immediately available and are classified based on the main software metrics identified in the scientific literature. Smart contracts’ source codes have been validated by EtherScan, and each contract comes with its own associated software metrics as computed by the freely available software PASO. Moreover, Smart Corpus can be easily extended as the number of new smart contracts increases day by day.

Recruitment, engagement and feedback in empirical software engineering studies in industrial contexts

2018 ◽  
Vol 98 ◽  
pp. 161-172
Author(s):  
Norsaremah Salleh ◽  
Rashina Hoda ◽  
Moon Ting Su ◽  
Tanjila Kanij ◽  
John Grundy
Keyword(s):  
Software Engineering ◽  
Empirical Software Engineering ◽  
Engineering Studies

The role of replications in Empirical Software Engineering

2008 ◽  
Vol 13 (2) ◽  
pp. 211-218 ◽  
Author(s):  
Forrest J. Shull ◽  
Jeffrey C. Carver ◽  
Sira Vegas ◽  
Natalia Juristo
Keyword(s):  
Software Engineering ◽  
Empirical Software Engineering
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