PPT-11 – Program Correctness

21 Program Defects and Bugs 22 Exceptions 1 Attendance Quiz 9 Program Correctness 2 It uses more storage and makes your program run slower than if the function were not virtual That is why the designers of C gave the programmer control over which member functions are virtual and which are not. The bit stream representation of a symbol is called the codeword of that symbol Di64256erent error control mechanisms Linear Block Codes Repetition Codes Convolution Codes brPage 2br Linear Block Codes A code is linear if two codes are added using m educn Zhenyu Zhang Institute of Software Chinese Academy of Sciences Beijing China zhangzyiosaccn Abstract In software debugging statistical fault localization techniques contrast dynamic spectra of program elements to estimate the location of fault The algorithm is an improved version of the bakery algorithm It is specified and proved correct without being decomposed into indivisible atomic operations This allows two different implementations for a conventional nondistributed system Moreover t Semantic preservation by compilers for higherorder languages can be veried using simple syntactic methods At the heart of classic techniques are relations between sourcelevel and targetlevel values Un fortunately these relations are specic to partic Partial correctness assertions are represented by intuitionistic linear implica tion We prove soundness and completeness over relational and trace models As a corollary we obtain a complete sequent calculus for inclusion and equivalence of regular e We discuss a collection of mechanized formal proofs of sym metric key block encryption algorithms AES MARS Twosh RC6 Serpent IDEA and TEA performed in an implementation of higher order logic For each algorithm functional correctness namely that de c K. Rustan M. Leino. Research in Software Engineering (. RiSE. ). Microsoft Research, Redmond. Lecture 0. LASER Summer . School 2011. Elba, Italy. 4. . September 2011. Reasoning about programs. Central to any programming task. . is a slippery, slippery slope. Implications for technical communication. Once we’re done editing, we lose control of our word’s intended meanings. Misused Words. Example. : Cree Indians were a . Dafny. K. Rustan M. Leino. RiSE. , Microsoft Research. 17 July 2009. JML seminar. Dagstuhl. , Germany. Dafny. experimental language. sequential, object based (no . subclassing. ). specifications in the style of . Inference. Hiroshi Unno (University of Tsukuba). Joint work with: Naoki Kobayashi, . Tachio. Terauchi, . Ryosuke. Sato, Takuya . Kuwahara. , . Kodai. Hashimoto, . Sho. Torii. 2015/7/4. HOPA 2015. Ali Mili, NJIT. Third Spring Festival Workshop. Karuizawa. , March 2017. Acknowledgements. In collaboration . with. M. . Frias (Argentina), . J. . . Desharnais. (CDN), . W. . . Ghardallou. (TN), . N. Formal . verification for. Java applications. Teodor. . Parvanov. May 26-27 ‘16, Sofia. 1. About me. I . currently work at VMware Bulgaria, working on standing up the fully automated Software-Defined Data . 2.5 Reasoning about Programs: Assertions and Loop Invariants. 2.6 Efficiency of Algorithms. 1. Attendance Quiz #10. Program Correctness. 2. Tip #13: '\n' Confusion. Program Correctness. 3. Internally all applications use '\n' to indicate line termination.. Motivation Security Performance Bibliography ParameterSelectioninRing-LWE-basedFullyHomomorphicEncryptionRachelPlayerInformationSecurityGroup,RoyalHolloway,UniversityofLondonbasedonjointworkswithMarti