Zhou Yu, Gu Ruihang, Chen Taolue, Huang Zhiqiu, Panichella Sebastiano, Gall Harald C. (2017), Analyzing apis documentation and code to detect directive defects, in
Proceedings of the 39th International Conference on Software Engineering, IEEE/ACM, Buenos Aires, Argentina.
Ciurumelea Adelina, Schaufelbuhl Andreas, Panichella Sebastiano, Gall Harald C. (2017), Analyzing reviews and code of mobile apps for better release planning, in
{IEEE} 24th International Conference on Software Analysis, Evolution and Reengineerin, IEEE, Klagenfurt, Austria.
Palomba Fabio, Salza Pasquale, Ciurumelea Adelina, Panichella Sebastiano, Gall Harald C., Ferrucci Filomena, De Lucia Andrea (2017), Recommending and localizing change requests for mobile apps based on user reviews, in
Proceedings of the 39th International Conference on Software Engineering, {IEEE} / {ACM}, Buenos Aires, Argentina.
Ponzanelli Luca, Scalabrino Simone, Bavota Gabriele, Mocci Andrea, Oliveto Rocco, Di Penta Massimiliano, Lanza Michele (2017), Supporting software developers with a holistic recommender system, in
Proceedings of the 39th International Conference on Software Engineering, ACM, Buenos Aires, Argentina.
Panichella Annibale, Alexandru Carol V., Panichella Sebastiano, Bacchelli Alberto, Gall Harald (2016), A Search-based Training Algorithm for Cost-aware Defect Prediction, in
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, ACM, Denver, CO, USA.
Panichella Sebastiano, Di Sorbo Andrea, Guzman Emitza, Visaggio Corrado, Canfora Gerardo, Gall Harald (2016), Ardoc: app reviews development oriented classifier, in
Proceedings of the 24th {ACM} {SIGSOFT} International Symposium on Foundations of Sof, ACM, Seattle, WA, USA.
Ponzanelli Luca, Bavota Gabriele, Mocci Andrea, Di Penta Massimiliano, Oliveto Rocco, Russo Barbara, Haiduc Sonia, Lanza Michele (2016), CodeTube: extracting relevant fragments from software development video tutorials, in
Proceedings of the 38th International Conference on Software Engineering, ACM, Austin, TX, USA.
Di Sorbo Andrea, Panichella Sebastiano, Visaggio Corrado Aaron, Di Penta Massimiliano, Canfora Gerardo, Gall Harald (2016), DECA: development emails content analyzer, in
Proceedings of the 38th International Conference on Software Engineering, ACM, Austin, TX, USA.
Fritz Thomas, Müller Sebastian C. (2016), Leveraging Biometric Data to Boost Software Developer Productivity, in
Leaders of Tomorrow Symposium: Future of Software Engineering, FOSE@SANER 2016, IEEE, Osaka, Japan.
Ponzanelli Luca, Bavota Gabriele, Di Penta Massimiliano, Oliveto Rocco, Lanza Michele (2016), Prompter - Turning the IDE into a self-confident programming assistant, in
Empirical Software Engineering October 2016, Volume 21, Issue 5, pp 2190–2231, 2190–2231.
Panichella Sebastiano, Panichella Annibale, Beller Moritz, Zaidman Andy, Gall Harald C. (2016), The impact of test case summaries on bug fixing performance: an empirical investigation, in
Proceedings of the 38th International Conference on Software Engineering, 2016ACM, Austin, TX, USA.
Ponzanelli Luca, Bavota Gabriele, Mocci Andrea, Di Penta Massimiliano, Oliveto Rocco, Hasan Mir Anamul, Russo Barbara, Haiduc Sonia, Lanza Michele (2016), Too long; didn't watch!: extracting relevant fragments from software development video tutorials, in
Proceedings of the 38th International Conference on Software Engineering, ACM, Austin, TX, USA.
Müller Sebastian C. (2016), Using (bio)metrics to predict code quality online, in
Proceedings of the 38th International Conference on Software Engineering, Fritz , Thomas, Austin, TX, USA.
Di Sorbo Andrea, Panichella Sebastiano, Visaggio Corrado, Di Penta Massimiliano, Canfora Gerardo, Gall Harald (2015), Development Emails Content Analyzer: Intention Mining in Developer Discussions (T), in
30th {IEEE/ACM} International Conference on Automated Software Engineering, {IEEE} Computer Society, Lincoln, NE, USA.
Schermann Gerald, Brandtner Martin, Panichella Sebastiano, Leitner Philipp, Gall Harald C. (2015), Discovering loners and phantoms in commit and issue data, in
Proceedings of the 2015 {IEEE} 23rd International Conference on Program Comprehension, {IEEE} Computer Society}, Florence/Firenze, Italy.
Panichella Sebastiano, Di Sorbo Andrea, Guzman Emitza, Visaggio Corrado Aaron, Canfora Gerardo, Gall Harald C. (2015), How can i improve my app? classifying user reviews for software maintenance and evolution, in
2015 {IEEE} International Conference on Software Maintenance and Evolution, {IEEE} Computer Society}, Bremen, Germany.
Shaffer Timothy R., Wise Jenna L., Walters Braden M., Müller Sebastian C., Falcone Michael, Sharif Bonita (2015), iTrace: enabling eye tracking on software artifacts within the IDE to support software engineering tasks, in
ESEC/FSE 2015 Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, ACM, Bergamo, Italy.
Latorre Nicolas, Minelli Roberto, Mocci Andrea, Ponzanelli Luca, Lanza Michele (2015), SODA: the stack overflow dataset almanac, in
5th {IEEE} Workshop on Mining Unstructured Data MUD@ICSME 2015, {IEEE} Computer Society}, Bremen, Germany.
Ponzanelli Luca, Mocci Andrea, Lanza Michele (2015), Stormed: Stack overflow ready made data, in
12th {IEEE/ACM} Working Conference on Mining Software Repositories, {MSR} 2015, {IEEE/ACM}, Florence, italy.
Muller Sebastian C., Fritz Thomas (2015), Stuck and Frustrated or in Flow and Happy: Sensing Developers' Emotions and Progress, in
37th {IEEE/ACM} International Conference on Software Engineering, IEEE/ACM, Florence, Italy.
Ponzanelli Luca, Mocci Andrea, Lanza Michele (2015), Summarizing complex development artifacts by mining heterogenous data, in
12th {IEEE/ACM} Working Conference on Mining Software Repositories, {IEEE} Computer Society}, Florence. iTALY.
Mastrangelo Luis, Ponzanelli Luca, Mocci Andrea, Lanza Michele, Hauswirth Matthias, Nystrom Nathaniel (2015), Use at your own risk: the Java unsafe API in the wild, in
Proceedings of the 2015 {ACM} {SIGPLAN} International Conference on Object-Oriented P, ACM, Pittsburgh, PA, USA.
Panichella Sebastiano, Arnaoudova Venera, Di Penta Massimiliano, Antoniol Giuliano (2015), Would static analysis tools help developers with code reviews?, in
22nd {IEEE} International Conference on Software Analysis, Evolution, and Reengineering, IEEE, Montreal, QC, Canada.
Tymchuk Yuriy, Mocci Andrea, Lanza Michele (2014), Collaboration in open-source projects: myth or reality?, in
11th Working Conference on Mining Software Repositories, ACM, Hyderabad, India.
Bacchelli Alberto, Bird Christian (2014), Expectations, outcomes, and challenges of modern code review, in
35th International Conference on Software Engineering, {IEEE} Computer Society, San Francisco, CA, USA.
Ponzanelli Luca, Mocci Andrea, Bacchelli Alberto, Lanza Michele, Fullerton David (2014), Improving Low Quality Stack Overflow Post Detection, in
30th {IEEE} International Conference on Software Maintenance and Evolution, {IEEE} Computer Society, Victoria, BC, Canada.
Ponzanelli Luca, Bavota Gabriele, Di Penta Massimiliano, Oliveto Rocco, Lanza Michele (2014), Prompter: A Self-Confident Recommender System, in
30th {IEEE} International Conference on Software Maintenance and Evolution, IEEE, Victoria, BC, Canada.
Ponzanelli Luca, Mocci Andrea, Bacchelli Alberto, Lanza Michele (2014), Understanding and classifying the quality of technical forum questions, in
2014 14th International Conference on Quality Software, {IEEE}, Allen, TX, USA.
Ponzanelli Luca, Mocci Andrea, Bacchelli Alberto, Lanza Michele (2014), Understanding and Classifying the Quality of Technical Forum Questions, in
2014 14th International Conference on Quality Software, , {IEEE}, Allen, TX, USA.
Fritz Thomas, Begel Andrew, Müller Sebastian C., Yigit-Elliott Serap, Züger Manuela (2014), Using psycho-physiological measures to assess task difficulty in software development, in
36th International Conference on Software Engineering, ACM, Hyderabad, India.
Software Evolutionsforschung hat sich bisher konzentriert auf strukturierte und semi-strukturierte Daten, typischerweise Programmcode oder Versionsdaten eines Software Systems. In diesem Projekt wechselt der Fokus nun auf Daten, die wesentlich für spezifische Beteiligte in deren aktuellen Arbeitskontext sind. Entwickler, Tester, Projektleiter oder Produktmanager haben ganz besondere Informationsbedürfnisse zur Weiterentwicklung eines Software Systems. Wir nennen diese Information “Evolutionäre Essentials” und konzentrieren uns damit auf personenorientierte Aspekte in der Software Entwicklung. Dieses Projekt analysiert Mittel und Wege, um verfügbare Informationen einen Software-Systems zu untersuchen, diese für Beteiligte entsprechend aufzubereiten und für deren aktuellen Arbeitskontext bereitzustellen. Das Ziel ist somit eine bedarfsgerechte und effiziente Information von den Essentials eines Software-Systems bezogen auf konkrete Kontext- und Arbeitsbedürfnisse von Personen in der Software Evolution.