Zobrazeno 1 - 10
of 216
pro vyhledávání: '"Marc Brockschmidt"'
Publikováno v:
ACM Transactions on Programming Languages and Systems. 42:1-50
We present a technique to infer lower bounds on the worst-case runtime complexity of integer programs, where in contrast to earlier work, our approach is not restricted to tail-recursion. Our technique constructs symbolic representations of program e
Autor:
Marc Brockschmidt, Santiago Zanella-Béguelin, Andrew Paverd, Lukas Wutschitz, Victor Rühle, Olga Ohrimenko, Boris Köpf, Shruti Tople
Publikováno v:
CCS
To continuously improve quality and reflect changes in data, machine learning applications have to regularly retrain and update their core models. We show that a differential analysis of language model snapshots before and after an update can reveal
Publikováno v:
SE4Science@ICSE
CamFort is our multi-purpose tool for lightweight analysis and verification of scientific Fortran code. One core feature provides units-of-measure verification (dimensional analysis) of programs, where users partially annotate programs with units-of-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5ec09a8d7b1b087364e4e2a4f8314a6
Autor:
Marc Brockschmidt
Publikováno v:
NL4SE@ESEC/SIGSOFT FSE
Learning from large corpora of source code ("Big Code") has seen increasing interest over the past few years. A first wave of work has focused on leveraging off-the-shelf methods from other machine learning fields such as natural language processing.
Publikováno v:
Frontiers of Combining Systems ISBN: 9783319661667
FroCoS
FroCoS
We present a new method to infer upper bounds on the innermost runtime complexity of term rewrite systems (TRSs), which benefits from recent advances on complexity analysis of integer transition systems (ITSs). To this end, we develop a transformatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a08263a6080e84833fbd11fe0b554f50
https://doi.org/10.1007/978-3-319-66167-4_8
https://doi.org/10.1007/978-3-319-66167-4_8
Autor:
Carsten Fuhs, Marc Brockschmidt, Florian Frohn, Thomas Ströder, Jürgen Giesl, Cornelius Aschermann, Peter Schneider-Kamp, Jera Hensel
Publikováno v:
Ströder, T, Giesl, J, Brockschmidt, M, Frohn, F, Fuhs, C, Hensel, J, Schneider-Kamp, P & Aschermann, C 2017, ' Automatically Proving Termination and Memory Safety for Programs with Pointer Arithmetic ', Journal of Automated Reasoning, vol. 58, no. 1, pp. 33-65 . https://doi.org/10.1007/s10817-016-9389-x
While automated verification of imperative programs has been studied intensively, proving termination of programs with explicit pointer arithmetic fully automatically was still an open problem. To close this gap, we introduce a novel abstract domain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41e1bc0e99652eac9f971e835f1794cf
https://findresearcher.sdu.dk:8443/ws/files/141379199/Automatically_Proving_Termination_and_Memory_Safety_for_Programs_with_Pointer_Arithmetic.pdf
https://findresearcher.sdu.dk:8443/ws/files/141379199/Automatically_Proving_Termination_and_Memory_Safety_for_Programs_with_Pointer_Arithmetic.pdf
Autor:
Marc Brockschmidt, Enric Rodríguez-Carbonell, Daniel Larraz, Albert Rubio, Cristina Borralleras, Albert Oliveras
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Tools and Algorithms for the Construction and Analysis of Systems ISBN: 9783662545768
TACAS (1)
Universitat Politècnica de Catalunya (UPC)
Tools and Algorithms for the Construction and Analysis of Systems ISBN: 9783662545768
TACAS (1)
We present a constraint-based method for proving conditional termination of integer programs. Building on this, we construct a framework to prove (unconditional) program termination using a powerful mechanism to combine conditional termination proofs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a1ec6a4a90b65b239baa38fda0688d8
Publikováno v:
Static Analysis ISBN: 9783319667058
SAS
SAS
We present a data-driven verification framework to automatically prove memory safety of heap-manipulating programs. Our core contribution is a novel statistical machine learning technique that maps observed program states to (possibly disjunctive) se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e75f067831c516d453536e6872b155d
https://doi.org/10.1007/978-3-319-66706-5_4
https://doi.org/10.1007/978-3-319-66706-5_4
Autor:
Peter Schneider-Kamp, Stephanie Swiderski, Carsten Otto, Florian Frohn, Marc Brockschmidt, Jera Hensel, Jürgen Giesl, Martin Plücker, Thomas Ströder, Carsten Fuhs, René Thiemann, Fabian Emmes, Cornelius Aschermann
Publikováno v:
Giesl, J, Aschermann, C, Brockschmidt, M, Emmes, F, Frohn, F, Fuhs, C, Hensel, J, Otto, C, Plücker, M, Schneider-Kamp, P, Ströder, T, Swiderski, S & Thiemann, R 2017, ' Analyzing Program Termination and Complexity Automatically with AProVE ', Journal of Automated Reasoning, vol. 58, no. 1, pp. 3-31 . https://doi.org/10.1007/s10817-016-9388-y
In this system description, we present the tool AProVE for automatic termination and complexity proofs of Java, C, Haskell, Prolog, and rewrite systems. In addition to classical term rewrite systems (TRSs), AProVE also supports rewrite systems contai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20ed30e232c853f8e57d105104d9844a
https://findresearcher.sdu.dk:8443/ws/files/141379108/Analyzing_Program_Termination_and_Complexity_Automatically_with_AProVE.pdf
https://findresearcher.sdu.dk:8443/ws/files/141379108/Analyzing_Program_Termination_and_Complexity_Automatically_with_AProVE.pdf
We present a modular approach to automatic complexity analysis of integer programs. Based on a novel alternation between finding symbolic time bounds for program parts and using these to infer bounds on the absolute values of program variables, we ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b366b89336b6454cf5a813b78307207
https://eprints.bbk.ac.uk/id/eprint/16257/1/16257.pdf
https://eprints.bbk.ac.uk/id/eprint/16257/1/16257.pdf