software mining; software evolution; software engineering; mobile apps
Grano Giovanni, Palomba Fabio, Gall Harald C. (2021), Lightweight Assessment of Test-Case Effectiveness Using Source-Code-Quality Indicators, in
IEEE Transactions on Software Engineering, 47(4), 758-774.
Vassallo Carmine, Proksch Sebastian, Zemp Timothy, Gall Harald C. (2020), Every build you break: developer-oriented assistance for build failure resolution, in
Empirical Software Engineering, 25(3), 2218-2257.
Vassallo Carmine, Panichella Sebastiano, Palomba Fabio, Proksch Sebastian, Gall Harald C., Zaidman Andy (2020), How developers engage with static analysis tools in different contexts, in
Empirical Software Engineering, 25(2), 1419-1457.
Grano Giovanni, Titov Timofey V., Panichella Sebastiano, Gall Harald C. (2019), Branch coverage prediction in automated testing, in
Journal on Software Evolution and Processes, 31(9), 1-18.
Vassallo Carmine, Proksch Sebastian, Gall Harald C., Penta Massimiliano Di (2019), Automated reporting of anti-patterns and decay in continuous integration, in
Proceedings of the 41st Int Conf on Software Engineering, ICSE 2019, 105-115, IEEE / ACM, New York105-115.
Serra Domenico, Grano Giovanni, Palomba Fabio, Ferrucci Filomena, Gall Harald C., Bacchelli Alberto (2019), On the effectiveness of manual and automatic unit test generation: ten years later, in
Proceedings of the 16th Int Conf on Mining Software Repositories, MSR 2019, 121-125, IEEE / ACM, New York121-125.
Vassallo Carmine, Grano Giovanni, Palomba Fabio, Gall Harald C., Bacchelli Alberto (2019), A large-scale empirical exploration on refactoring activities in open source software projects, in
Sci. Comput. Program., 180, 1-15.
Grano Giovanni, Palomba Fabio, Nucci Dario Di, Lucia Andrea De, Gall Harald C. (2019), Scented since the beginning: On the diffuseness of test smells in automatically generated test code, in
Journal on Systems and Software, 156, 312-327.
Vassallo Carmine, Palomba Fabio, Bacchelli Alberto, Gall Harald C. (2018), Continuous code quality: are we (really) doing that?, in
Proceedings of the 33rd ACM/IEEE Int'l Conf on Automated Software Engineering, ASE 2018, 790-795, ACM, New York790-795.
Vassallo Carmine, Palomba Fabio, Gall Harald C. (2018), Continuous Refactoring in CI: A Preliminary Study on the Perceived Advantages and Barriers, in
2018 Int Conf on Software Maintenance and Evolution, ICSME 2018, 564-568, IEEE Computer Society, Washington, DC564-568.
Scalabrino Simone, Grano Giovanni, Nucci Dario Di, Guerra Michele, Lucia Andrea De, Gall Harald C., Oliveto Rocco (2018), OCELOT: a search-based test-data generation tool for C, in
Proceedings of the 33rd Int Conf on Automated Software Engineering, ASE 2018, 868-871, ACM, New York868-871.
Grano Giovanni, Scalabrino Simone, Gall Harald C., Oliveto Rocco (2018), An empirical investigation on the readability of manual and generated test cases, in
Proceedings of the 26th Conf on Program Comprehension, ICPC 2018, 348-351, ACM, New York348-351.
Vassallo Carmine, Proksch Sebastian, Zemp Timothy, Gall Harald C. (2018), Un-break my build: assisting developers with build repair hints, in
Proceedings of the 26th Conf on Program Comprehension, ICPC 2018, 41-51, ACM, New York41-51.
Pelloni Lucas, Grano Giovanni, Ciurumelea Adelina, Panichella Sebastiano, Palomba Fabio, Gall Harald C. (2018), BECLoMA: Augmenting stack traces with user review information, in
25th Int Conf on Software Analysis, Evolution and Reengineering, SANER 2018, 522-526, IEEE Computer Society, Washington, DC522-526.
Vassallo Carmine, Panichella Sebastiano, Palomba Fabio, Proksch Sebastian, Zaidman Andy, Gall Harald C. (2018), Context is king: The developer perspective on the usage of static analysis tools, in
25th Int Conf on Software Analysis, Evolution and Reengineering, SANER 2018, 38-49, IEEE Computer Society, Washington, DC38-49.
Grano Giovanni, Ciurumelea Adelina, Panichella Sebastiano, Palomba Fabio, Gall Harald C. (2018), Exploring the integration of user feedback in automated testing of Android applications, in
25th Int Conf on Software Analysis, Evolution and Reengineering, SANER 2018, 72-83, IEEE Computer Society, Washington, DC72-83.
Grano Giovanni, Titov Timofey V., Panichella Sebastiano, Gall Harald C. (2018), How high will it be? Using machine learning models to predict branch coverage in automated testing, in
Workshop on Machine Learning Techniques for Software Quality Evaluation, MaLTeSQuE 2018, 19-24, IEEE Computer Society, Washington, DC19-24.
Gall Harald C., Alexandru Carol V., Ciurumelea Adelina, Grano Giovanni, Laaber Christoph, Panichella Sebastiano, Proksch Sebastian, Schermann Gerald, Vassallo Carmine, Zhao Jitong (2018), Data-Driven Decisions and Actions in Today's Software Development, in Striemer Rüdiger, Gruhn Volker (ed.), Springer, Cham, 137-168.
The SURF-MobileAppsData project will mine data about mobile apps that are available in app stores to support software engineers in the maintenance and evolution of these apps. In particular, the goal is to devise an analysis framework and a feedback-driven environment to help developers to shorten the development life cycle and to accommodate actual user needs. Hence, the main purpose of the project is to surf the large amount of data (such as user reviews or app ratings etc.) that characterizes any app in an app store with the aim of advancing the current state-of-the-art in mining mobile apps in several novel directions: by providing a mulit-level, multi-source feedback mechanism for developers and users; by devising means for multi-source interlinking of user requests and actual changes; and by better wiring up feature development and bug fixing thru user feedbacks.