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The Changing Landscape of Programming Technology

The Changing Landscape of Programming Technology. Karl Lieberherr Northeastern University. Swiss connection. PhD from ETH Zurich: Pascal, Modula, Oberon (Wirth) Sabbatical 2000 with UBS Zurich Sabbatical 2006 with Novartis Collaborations with ABB and Mettler-Toledo One Swiss PhD

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The Changing Landscape of Programming Technology

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  1. The Changing Landscape of Programming Technology Karl Lieberherr Northeastern University Friends of Switzerland

  2. Swiss connection • PhD from ETH Zurich: Pascal, Modula, Oberon (Wirth) • Sabbatical 2000 with UBS Zurich • Sabbatical 2006 with Novartis • Collaborations with ABB and Mettler-Toledo • One Swiss PhD • Yearly summer vacation in Switzerland Friends of Switzerland

  3. How I came to Boston • 1983: GTE in Waltham, now Verizon • 1985: tenured full professor at Northeastern • I like it here! Friends of Switzerland

  4. Goal • We want reliable and secure software. • No technical vulnerabilities. • Not enough: social vulnerabilities are also very important in the age of the web. Friends of Switzerland

  5. Outline • Program Organization • Crosscutting Concerns • Law of Demeter • Programming Team Organization • Extreme Programming • Security: • Social Phishing • SAT solvers Friends of Switzerland

  6. Software bugs • Excel 2007 multiplication bug: September 2007 • 850 * 77.1 should be 65535 but displays as 100000. Friends of Switzerland

  7. Program Organization • cross-cutting concerns • the tyranny of the primary decomposition • organize software into modules • group functionality that lives in several modules Friends of Switzerland

  8. Law of Demeter • Organization principle for objects • “talk only to your friends” • “each object talks only to a limited number of other objects” • avoids information overload for the programmer • from Northeastern • Leads to objects that are easier to change Friends of Switzerland

  9. Extreme Programming • Planning around User Stories • Small Releases of Functionality • Simple Design • build what is asked for, no design for the future • Continuous testing Friends of Switzerland

  10. Extreme Programming • Pair Programming • Collective Product (Code) Ownership • Design, Coding Standards • Continuous integration • On-site Customer Representative Friends of Switzerland

  11. SAT Solvers • a fundamental topic in computer science • express your “wishes” • computer satisfies as many as possible • used for software and hardware verification • based on learning from mistakes (non-chronological backtracking) • can solve systems with over 100000 parameters (variables) Friends of Switzerland

  12. Social Phishing • friendly email message tempts recipients to reveal more online than they otherwise would. • impersonating a trustworthy entity Friends of Switzerland

  13. class project at Johns Hopkins • find publicly available information from social networks: MySpace, Facebook, LinkedIn. • how can a phisher exploit social network data? very easily and effectively • over four times as likely to become a victim if they are solicited by someone appearing to be a known acquaintance Friends of Switzerland

  14. Observations • 77% females, 65% males • But trick males by sending them a spoofed message appearing to come from a female (68% if message from female versus 53% if from another male) • somewhat reassuringly: computer science students were the least vulnerable Friends of Switzerland

  15. Observations: observed reactions after debriefing message • Anger • significant social cost to victims • Denial • we find it difficult to admit our own vulnerability: many successful phishing attacks go unreported Friends of Switzerland

  16. Conclusions • Still a very exciting time in computer and information science. • Computer science students have excellent job prospects, despite outsourcing. Friends of Switzerland

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