First-year computer science students at the GSSI publish paper at ICSE 2018

The paper "FAST Approaches to Scalable Similarity-based Test Case Prioritization" by Breno Miranda (UFPE, Brazil), Emilio Cruciani (GSSI, Italy), Roberto Verdecchia (GSSI, Italy, and Vrije Universiteit Amsterdam, NL) and Antonia Bertolino (ISTI - CNR, Italy) has been accepted as a technical research paper at ICSE 2018, the 40th International Conference on Software Engineering. ICSE is the flagship conference in Software Engineering and is very selective its technical-research-paper track is the most prestigious one within the conference.

The paper contributes to the classic area of software testing, which is one of the approaches developed by computer scientists to increase their confidence that computing systems actually do what they were designed to achieve. Since the number of tests that can be performed on a computing system is enormous, test-case prioritization is a crucial element in any practical testing framework. In that approach, one prioritizes test cases so that they can detect faults more efficiently using the available limited resources.

The paper to be presented at ICSE 2018 is the first that applies techniques from data mining to test case prioritization. In particular, it shows that the use of ideas from locality-sensitive hashing, a technique stemming from research in TCS that has been employed to great effect in approximate similarity searches in audio and video data, amongst others, leads to effective test prioritization in practice, when one needs to select tests effectively amongst millions of possible ones.

Antonia Bertolino is a member of the Scientific Board for the PhD programme in Computer Science at the GSSI. Breno Miranda is currently a postdoctoral researcher in Brazil and is one of Antonia Bertolino's former PhD students. Emilio Cruciani and Roberto Verdecchia just started their second year as PhD students in computer science at the GSSI and the paper to be presented at ICSE 2018 builds on their project for the first-year Software Testing course held in early 2017 at the GSSI by Antonia Bertolino. The project itself arose from a question asked by the students during the lectures. This is what inspiring, research-based teaching can produce when there is intellectual chemistry between lecturers and students.

Congratulations to the authors (and to the computer science group at the GSSI)!

Tenure-track positions in CS at Reykjavik University

We are aggressively recruiting new tenure-track faculty in Computer Science to Reykjavík University (https://en.ru.is/scs/). Theoretical computer science is one of the focus areas mentioned in the call. This is a link to further information:

http://radningar.hr.is/storf/ViewJobOnWeb.aspx?jobid=3111

Whereas Reykjavík University is relatively small, I believe we can offer junior faculty attractive opportunities and an independent career path. Reykjavík is a great place for families to live, has a vibrant cultural scene and is attractive to people who enjoy the outdoors.

I would very much appreciate your help in getting this job announcement seen by interested potential candidates.

A letter to Franklin Foer (guest post by Frits Vaandrager)

Frits Vaandrager has sent the appended letter, which I am posting with his kind permission, to the journalist Franklin Foer. (The letter is also available here.)

Frits wrote to me saying that:

Franklin Foer published an interesting book, World without Mind, that was named a "Notable book of 2017" by the New York Times. According to Foer,  computer scientist started to use the term "algorithm" because of "status anxiety", as a form of name dropping by programmers to suggest that they were also serious scientists. In my letter to Foer I give some historic evidence that this framing is utterly incorrect, but I'd be interested in the views of colleagues from the TCS community on this matter.

Please share your views on this matter as comments to this post. It is important to put the record straight and I am glad that Frits took the time to write a cogent letter to Mr. Foer. Thank you!

Dear Mr Foer,

With much interest I have read your book “World without mind”. I agree with many of your conclusions! But as a computer scientist who has been working on algorithms for more than 30 years, I am also deeply troubled by one paragraph in your book: 

“For the first decades of computing, the term “algorithm” wasn’t much mentioned. But as computer science departments began sprouting across campuses in the 60s, the term acquired a new cachet. Its vogue was the product of status anxiety. Programmers, especially in the academy, were anxious to show that they weren’t mere technicians. They began to describe their work as algorithmic, in part because it tied them to one of the greatest of all mathematicians – the Persian polymath Muhammad ibn Musa al-Khwarizmi, or as he was known in Latin, Algoritmi. During the 12th century, translations of al-Khwarizmi introduced Arabic numerals to the west; his treatises pioneered algebra and trigonometry. By describing the algorithm as the fundamental element of programming, the computer scientists were attaching themselves to a grand history. It was a savvy piece of name-dropping: See, we’re not arriviste, we’re working with abstractions and theories, just like the mathematicians!”

 

Do you have historic sources for these strong statements? 

Much of computer science is rooted in the work of mathematicians and logicians such as Turing, Church and von Neumann. These researchers used the word “algorithm” already before computers were built, see for instance p349 of Alonzo Church’s 1936 paper “An unsolvable problem of elementary number theory”. Together with Turing’s 1936 paper “On computable numbers, with an application to the entscheidungsproblem”, this paper forms the basis for the so-called Church-Turing thesis, which in turn laid the foundation of theoretical computer science. The computer science pioneers definitely knew the term “algorithm”!!

The term “algorithm” was maybe not used so often by computer scientists during the initial years (often they used terms such as “effective procedure” or “computable function”), but that certainly changed in 1958 with the influential work on ALGOL (short for Algorithmic Language), a family of imperative computer programming languages. The researchers who worked on Algol e.g. Bauer, Backus, Dijkstra, Perlis, Naur, van Wijngaarden & McCarthy were established scientists who definitely did not suffer from “status anxiety”. Backus, Dijkstra, Perlis, Naur and McCarthy later received the Turing award, the major prize for computer science research, for their groundbreaking research.

In order to appreciate the wonderful scientific work on algorithms, I can recommend you, for instance, to read the book Algorithmics – The spirit of computing by David Harel. I hope that, after studying this book, you will be also convinced that the fact that programmers used the term algorithm is not a form of name dropping. The work on algorithms since the advent of computers very much fits into the tradition of the work started by great scientists like Euclides and al-Khwarizmi.

Scientific knowledge may always be used for both good and bad things. Like you, I am very concerned about the use of algorithms by Google, Facebook, Apple and Amazon. But I disagree with any suggestion that there is no science behind computer science algorithms!

Looking forward to your reaction, with best regards,

Frits Vaandrager

Professor of Computer Science at Radboud University

Nijmegen, December 4, 2017