SPLevo auf GitHub

Das Werkzeug wird im Rahmen des KoPL Projektes noch stetig weiterentwickelt. Durch die Veröffentlichung auf GitHub besteht aber bereits jetzt für jeden die Möglichkeit auf den Code zuzugreifen, ihn selber durch sogenannte Forks für sich zu anzupassen, durch sogenannte Pull Requests Vorschläge einzubringen und direkt Kontakt zum Entwicklungsteam aufzunehmen.

Durch eine frei zugängliche Update Site kann der aktuelle Stand der Entwicklung in einer Eclipse Umgebung installiert und direkt getestet werden: Installationshinweis

Darüberhinaus wurde eine Wiki eingerichtet in dem Sowohl Benutzer- als auch technische Dokumentation zur Verfügung stehen und kontinuierlich weitergeschrieben werden:
SPLevo Wiki

The post SPLevo Werkzeug auf GitHub veröffentlicht appeared first on KoPL Projekt.

Autoren

Benjamin Klatt, Klaus Krogmann
FZI Forschungszentrum Informatik, Software Engineering
Haid-und-Neu-Str. 10-14, 76131 Karlsruhe, Germany

Volker Kuttruff
CAS software AG
CAS-Weg 1-5, 76131 Karlsruhe, Germany

Abstract

When implementing a software, developers express conceptual knowledge (e.g. about a specific feature) not only in program language syntax and semantics but also in linguistic information stored in identifiers (e.g. method or class names). Based on this habit, Natural Language Program Analysis (NLPA) is used to improve many different areas in software engineering such as code recommendations or program analysis. Simplified, NLPA algorithms collect identifier names and apply term processing such as camel case splitting (i.e. „MyIdentifier“ to „My“ and „Identifier“) or stemming (i.e. „records“ to „record“) to subsequently perform further analyzes. For example, in our research context, we search for code locations sharing similar terms to link them with each other.

However, just collecting, splitting, and stemming the identifier names, can result in a list of terms with divergent grade of usefulness. For example, the terms „get“ and „set“ are used in most Java application as common coding conventions and not because of any conceptual knowledge. Taking these terms into account can corrupt the results of the program analysis.

To reduce this noise, a typical approach in natural language processing is to filter terms to be known as useless (aka „stop words“).
For natural languages, stop word lists are language-dependent and many lists are publicly available for English, German or other languages. However, as Host et al. identified, developer use a more specific language with different vocabulary. So common stop word lists are not reasonable to be used in program analysis, they even depend on domain, application type, developing company, and project settings.

In this paper, we propose an approach to develop reusable stop word lists to improve NLPA.

We i) propose to distinguish different scopes a stop word list applies to (i.e. programming language, technology, and domain) and ii) recommend types of sources for terms to include.
Our approach is not limited to a specific technology but according to our research context, examples given are from to the Java technology.

The post „Developing Stop Word Lists for Natural Language Program Analysis“ at WSRE 2014 appeared first on KoPL Projekt.

Autoren

Benjamin Klatt, Klaus Krogmann
FZI Forschungszentrum Informatik, Software Engineering
Haid-und-Neu-Str. 10-14, 76131 Karlsruhe, Germany

Christian Wende
DevBoost GmbH
Erich-Ponto-Str. 19, 01097 Dresden, Germany

Abstract

Reusing existing software solutions as initial point for new projects is a frequent approach in software business.
Copying existing code and adapting it to customer-specific needs allows for flexible and efficient software customization in the short term. But in the long term, a Software Product Line (SPL) approach with a single code base and explicitly managed variability reduces maintenance effort and eases instantiation of new products.

However, consolidating custom copies into an SPL afterwards, is not trivial and requires a lot of manual effort. For example, identifying relevant differences between customized copies requires to review a lot of code.

State-of-the-art software difference analysis neither considers characteristics specific for copy-based customizations nor supports further interpretations of the differences found (e.g. relating thousands of low-level code changes). Furthermore, deriving a reasonable variability design requires experience and is not a software developer’s everyday task.

In this paper, we present our product copy consolidation approach for software developers. It contributes i) a difference analysis adapted for code copy differencing, ii) a variability analysis to identify related differences, and iii) the derivation of a reasonable variability design.

The post „Consolidating Customized Product Copies to Software Product Lines“ at WSRE 2014 appeared first on KoPL Projekt.

Vortrag bei dem JUG Saxony Day 2014
http://www.jug-saxony-day.org/programm/#/V48
Datum: 04.04.2014
Ort: Dresden
Fakultät Informatik
Nöthnitzer Str. 46
01187 Dresden

Sprecher:

Christian Wende
DevBoost GmbH
Nöthnitzer Str. 46
01187 Dresden

Benjamin Klatt
FZI Forschungszentrum Informatik, Software Engineering
Haid-und-Neu-Str. 10-14
76131 Karlsruhe

The post Vortrag JUG Saxony Day 2014: Konsolidierung von individuellen Produktkopien appeared first on KoPL Projekt.

Vortrag an der Technischen Universität Dresden am Lehrstuhl für Softwaretechnologie von Prof. Dr. Uwe Aßmann
http://tu-dresden.de/die_tu_dresden/fakultaeten/fakultaet_informatik/smt/st
Datum: 09.12.2013
Ort:
TU Dresden
Fakultät Informatik
Institut für Software- und Multimediatechnik
Lehrstuhl Softwaretechnologie
Nöthnitzer Str. 46
01187 Dresden

Sprecher:

Christian Wende
DevBoost GmbH
Nöthnitzer Str. 46
01187 Dresden

Benjamin Klatt
FZI Forschungszentrum Informatik, Software Engineering
Haid-und-Neu-Str. 10-14
76131 Karlsruhe

The post Vortrag KoPL Projektvorstellung an der TU Dresden appeared first on KoPL Projekt.

Gastvorlesung im Rahmen der Vorlesung „Requirements Engineering und Software-Architektur“ im Master Studiengang Software Engineering an der Universität Stuttgart
Vorlesungsfolie als PDF (~2.5 MB)
Datum: 16.01.2014
Ort:
CS Building
Universitätsstraße 38
70569 Stuttgart
Germany

Sprecher:

Benjamin Klatt
FZI Forschungszentrum Informatik, Software Engineering
Haid-und-Neu-Str. 10-14, 76131 Karlsruhe, Germany

The post Gastvorlesung Uni Stuttgart „From Product Copies to Product Lines“ appeared first on KoPL Projekt.

Autoren:

Benjamin Klatt, Klaus Krogmann, Michael Langhammer
FZI Forschungszentrum Informatik, Software Engineering
Haid-und-Neu-Str. 10-14, 76131 Karlsruhe, Germany

Abstract

Custom-made static code analyses and derived metrics are a method of choice when dealing with customer-specific requirements for software quality assurance and problem detection. State-of-the-art development environments (IDE) provide standard analyses for code complexity, coding conventions, or potential bug warnings out-of-the-box. Beyond that, complementary projects have developed common reverse engineering infrastructures over the last years. Based on such infrastructures, individual analyses can be developed for project- and company-specific requirements. In this paper, we oppose MoDisco to JaMoPP as prevailing infrastructure projects for source code analyses, as well as an approach to gain added value from their combination. We further provide insight into two individual analyses we developed for industrial partners. Those example scenarios and the ongoing development of reverse-engineering infrastructure underline the potential of project-specific analyses, which by now is not exhausted by built-in standard analyses from IDEs.

The post „Individual Code Analyses in Practice“ – Software Engineering 2014 appeared first on KoPL Projekt.