@conference {1358,
	title = {Extracting source code from e-mails},
	booktitle = {Proceedings of ICPC 2010 (18th IEEE International Conference on Program Comprehension)},
	year = {2010},
	note = {"We want to extract source code fragments from e-mail messages. To do this, we first need to select e-mails that contain source code fragments, and then we extract such fragments from the content in which they are enclosed."

"we manually build a statistically significant benchmark taking sample e- mails from five unrelated open source Java software systems."

},
	pages = {24-33},
	abstract = {E-mails, used by developers and system users to communicate over a broad range of topics, offer a valuable source of information. If archived, e-mails can be mined to support program comprehension activities and to provide views of a software system that are alternative and complementary to those offered by the source code.

However, e-mails are written in natural language, and therefore contain noise that makes it difficult to retrieve the important data. Thus, before conducting an effective system analysis and extracting data for program comprehension, it is necessary to select the relevant messages, and to expose only the meaningful information.

In this work we focus both on classifying e-mails that hold fragments of the source code of a system, and on extracting the source code pieces inside the e-mail. We devised and analyzed a number of lightweight techniques to accomplish these tasks. To assess the validity of our techniques, we manually inspected and annotated a statistically significant number of e-mails from five unrelated open source software systems written in Java. With such a benchmark in place, we measured the effectiveness of each technique in terms of precision and recall.},
	keywords = {argouml, email, freenet, jmeter, mailing lists, mina, natural language, openjpa, source code},
	url = {http://www.inf.usi.ch/phd/bacchelli/publications.php},
	attachments = {https://flosshub.org/sites/flosshub.org/files/icpc2010.pdf},
	author = {Bacchelli, Alberto and D{\textquoteright}Ambros, Marco and Lanza, Michele}
}
@conference {1360,
	title = {Benchmarking Lightweight Techniques to Link E-Mails and Source Code},
	booktitle = {2009 16th Working Conference on Reverse Engineering},
	year = {2009},
	note = {"We present different lightweight approaches that, exploiting the specific characteristics of e-mails and the ones of the source code, are capable of establishing a bi-directional link between source code entities and e-mails"

"We analyzed ArgoUML1, a UML modelling tool written in Java, developed over the course of approximately 9 years, and made available under the BSD Open Source License. We consider the release 0.28 (March 2009) that comprehends 2,197 classes. We employed the lightweight approaches to map such classes to the related e-mails in ArgoUML mailing lists.
ArgoUML e-mails are stored in six mailing lists (see Table I), for a total amount of 79,175 messages"

Figure 4 is helpful to understand what this does.},
	pages = {205 - 214},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Lille, France},
	abstract = {During the evolution of a software system, a large amount of information, which is not always directly related to the source code, is produced. Several researchers have provided evidence that the contents of mailing lists represent a valuable source of information: Through e-mails, developers discuss design decisions, ideas, known problems and bugs, etc. which are otherwise not to be found in the system.

A technical challenge in this context is how to establish the missing link between free-form e-mails and the system artifacts they refer to. Although the range of approaches is vast, establishing their accuracy remains a problem, as there is no benchmark against which to compare their performance.

To overcome this issue, we manually inspected a statistically significant number of e-mails pertaining to the ArgoUML system. Based on this benchmark, we present a variety of lightweight techniques to assign e-mails to software artifacts and measure their effectiveness in terms of precision and recall.},
	keywords = {argouml, email, mailing lists},
	isbn = {978-0-7695-3867-9},
	doi = {10.1109/WCRE.2009.44},
	attachments = {https://flosshub.org/sites/flosshub.org/files/wcre2009.pdf},
	author = {Bacchelli, Alberto and D{\textquoteright}Ambros, Marco and Lanza, Michele and Robbes, Romain}
}
