PhD Student Vacancy in Test Amplification

Within the Software Engineering Research Group of Delft University of Technology, we are looking for an enthusiastic and strong PhD student in the area of “test amplification”.

The PhD project will be in the context of the new STAMP project funded by the H2020 programme of the European Union.

STAMP is a 3-year R&D project, which leverages advanced research in automatic test generation to push automation in DevOps one step further through innovative methods of test amplification. It will reuse existing assets (test cases, API descriptions, dependency models), in order to generate more test cases and test configurations each time the application is updated. This project has an ambitious agenda towards industry transfer. In this regard, the STAMP project gathers 3 research groups which have strong expertise in software testing and continuous development as well as 6 industry partners that develop innovative open source software products.

The STAMP project is led by Benoit Baudry from INRIA, France. The STAMP consortium consists of the following partners

The PhD student employed by Delft University of Technology will conduct research as part of the STAMP project together with the STAMP partners. Employment will be for a period of four years. The PhD student will enroll in the TU Delft Graduate School.

The primary line of research for the TU Delft PhD student will revolve around runtime test amplification. Online test amplification automatically extracts information from logs collected in production in order to generate new tests that can replicate failures, crashes, anomalies and outlier events. The research will be devoted to (i) defining monitoring techniques and log data analytics to collect run-time information; (ii) detecting interesting behaviors with respect to existing tests; (iii) creating new tests for testing the behaviors of interest, for example through state machine learning or genetic algorithms; (iv) adding new probes and new log messages into the production code to improve its testability.

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Besides this primary line of research, the PhD student will be involved in lines of research led by the other STAMP partners, addressing unit test amplification and configurability test amplification. Furthermore, the PhD student will be involved in case studies and evaluations conducted in collaboration with the industrial partners in the consortium.

From the TU Delft Software Engineering group, several people will be involved, including Arie van Deursen (principal investigator), Andy Zaidman, and Mauricio Aniche. Furthermore, where possible collaborations with existing projects will be setup, such as the 3TU Big Software on the Run and TestRoot projects.

Requirements for the PhD candidate include:

  • Being a team player;
  • Strong writing and presentation skills;
  • Being hungry for new knowledge in software engineering;
  • Ability to develop prototype research tools;
  • Interest in bringing program analysis, testing, and genetic algorithms together;
  • Eagerness to work with the STAMP partners on test amplification in their contexts;
  • Completed MSc degree in computer science

For more information on this vacancy and the STAMP project, please contact Arie van Deursen.

To apply, please follow the instructions of the official opening at the TU Delft Vacancies pages. Your letter letter should include a clear motivation why you want to work on the STAMP project, and an explanation of what you can bring to the STAMP project. Also provide your CV, (pointers to) written material (e.g. a term paper, an MSc thesis, or published conference or journal papers), and if possible pointers to (open source) software projects you have contributed to.

The vacancy will be open until 2 February 2017, but applying early never hurts. We look forward to receiving your application!

Delft Technology Fellowship for Top Female (Computer) Scientists

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Delft University of Technology is aiming to substantially increase the number of top female faculty members. To help accelerate this, the Delft Technology Fellowship offers high-profile, tenure-track positions to top female scientists in research fields in which Delft University of Technology (TU Delft) is active.

One of those fields is of course Computer Science — so if you’re a female computer scientist (or software engineering researcher!) interested in working as an assistant, associate or even full professor (depending on your experience) at the departments of Computer Science and Engineering of the TU Delft Faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS), please consider applying.

Previous rounds of the TU Delft Fellowship program were held in 2012 and 2014. In both years, 9 top scientists were hired, in such diverse fields as interactive media design, protein machines, solid state physics, climate change, and more.

Since applicants can come from any field of research, the competition for the TU Delft fellowship program is fierce. The program is highly international, with just four out of the current 18 fellows from The Netherlands. As a fellow, you should be the best in your field, and you should be able to explain to non computer scientists what makes you so good.

As a Delft Technology Fellow, you can propose your own research program. As in previous years, it can be in any research field in which TU Delft is active, such as computer science.

The computer science and engineering research at TU Delft is organized into 12 so-called sections, covering such topics as algorithmics, embedded software, cyber security, pattern recognition, and my own topic software engineering. Each section consists of around four faculty members and 10-15 PhD students, and is typically headed by one full professor. PhD students are usually externally funded, through government subsidies obtained in competition, or via collaborations with industry.

As a fellow at the EEMCS faculty, you are expected to bring your own topic. You would, however, typically be working within one of the existing sections. Thus, if you apply, it makes sense to identify the section that is most related your area of work, and explore if you see collaboration opportunities. To that end, you can contact any of the section leaders, or me if you want to discuss where your topic would fit best. Naturally, if you are in software engineering, also feel free to contact me, or any current SERG group member.

For formal instructions on how to apply, please consult the Fellowship web site. The application procedure is open from 12 October 2015 until 8 January 2016.

PhD/PostDoc Vacancies in Persistent Code Reviews

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In the fall 2015 we are starting a brand new project that we titled Persistent Code Reviewing, funded by NWO. If you’re into code reviews, software quality, or software testing, please consider applying for a position as PhD student or Postdoc within this project.

To quote the abstract of the project proposal:

Code review is the manual assessment of source code by human reviewers. It is mainly intended to identify defects and quality problems in code changes before deployment in production. Code review is widely recommended: Several studies have shown that it supports software quality and reliability crucially. Properly doing code reviews requires expensive developer time and zeal, for each and every reviewed change.

The goal of “Persistent Code Reviews” project is to make the efforts and knowledge that reviewers put in a code review available outside the code change context to which they are directed.

Naturally, given my long term interest in software testing, we will include any test activities (test design and execution, test adequacy considerations) that affect the reviewing process in our analysis.

The project is funded by the Top Programme of NWO, the Netherlands Organization for Scientific Research.

Within the project, we have openings for two PhD students and one postdoctoral researcher. The research will be conducted at the Software Engineering Research Group (SERG) of Delft University of Technology in The Netherlands. At SERG, you will be working in a team of around 25 researchers, including 6 full time faculty members.

In this project you will be supervised by Alberto Bacchelli and myself. To learn more about any of these positions, please contact one of us.

Requirements for all positions include:

  • Being a team player;
  • Strong writing and presentation skills;
  • Being hungry for new knowledge in software engineering;
  • Ability to develop prototype research tools;
  • Interest in bringing program analysis, testing, and human aspects of software engineering together.

To apply, please send us an application letter, a CV, and (pointers) to written material (e.g. a term paper or an MSc thesis for applicants for the PhD positions, and published papers or the PhD thesis for the postdoc).

We are in the process of further distributing this announcement: Final decisions on the appointments will be made end of October.

We look forward to receiving your application as soon as possible.

In Vivo Software Analytics: PhD/Postdoc positions

Last week, we had the kickoff of a new project we are participating in addressing “In Vivo Software Analytics”. In this project, called “Big Software on the Run” (BSR) we monitor the quality of software in its “natural habitat”, i.e., as it is running in the wild. The project is a collaboration between the three technical universities (3TU) of The Netherlands (Eindhoven, Twente, Delft).

In Vivo Software Analytics

To quote the 3TU.BSR plan:

Millions of lines of code – written in different languages by different people at different times, and operating on a variety of platforms – drive the systems performing key processes in our society. The resulting software needs to evolve and can no longer be controlled a priori as is illustrated by a range of software problems. The 3TU.BSR research program will develop novel techniques and tools to analyze software systems in vivo – making it possible to visualize behavior, create models, check conformance, predict problems, and recommend corrective actions.

Essentially, we propose to address big software by applying big data techniques to system health information obtained at run time. It provides feedback from operations to developers, in order to make systems more resilient against the risks that come with rapid change.

The project brings together some of the best softare engineering and data science groups and researchers of the three technical universities in The Netherlands:

The project is sponsored by NIRICT, the 3TU center for Netherlands Resaerch in Information and Communication Technology.

The project duration is four years. At each of the three technical universities two PhD students and one one postdoc will be employed. To maxize collaboration, each PhD student has two supervisors, from two different universities. Furthermore, the full research team, including all supervisors, PhD students, and postdocs, will regularly visit each other.

Within the Delft Software Engineering Research Group, we are searching for one PhD student and one postdoc to strengthen the 3TU.BSR project team.

The PhD student we are looking for will work on the intersection between visualization and dynamic program analysis. In particular, we are searching for a PhD student to work on log event analysis, and visualization of anomalies and exceptions as occurring in traces of running systems. The PhD student will be jointly supervised by Jack van Wijk and myself.

The postdoctoral researcher we are looking for should be able to establish connections between the various research themes and groups working on the project (such as visualization, process mining, repository mining, privacy-preserving log file analysis, model checking). Thus, we are looking for a researcher who successfully completed his or her PhD thesis, and is open to work with various of the six PhD students within the project. The postdoc will be based in the Software Engineering Research Group.

Requirements for both positions include:

  • Being a team player;
  • Strong writing and presentation skills;
  • Being hungry for new knowledge in software engineering;
  • Ability to develop prototype research tools;
  • Interest in bringing visualization, run time analysis, and human aspects of software engineering together.

To apply, please send me an application letter, a CV, and (pointers) to written material (e.g. a term paper or an MSc thesis for applicants for the PhD position, and published papers or the PhD thesis for the postdoc).

We are in the process of further distributing this announcement: Final decisions on the appointments will be made end of October.

I look forward to receiving your application!

3TU.BSR Tracks