Skip to main contentCal State San Bernardino
>> [CNS] >> [Comp Sci Dept] >> [R J Botting] >> [New Bibliographic Items] >> newb0512 [Blog/News] || [Purpose] || [Notation] || [Copyright] || [Site Search] || [Bibliography Search]
Thu May 12 15:32:45 PDT 2005

Contents


    BeyerNoackLewerentz05

    1. Dirk Beyer & Andreas Noack & Claus Lewerentz
    2. Efficient Relational Calculation for Software Analysis
    3. IEEE Trans Software Engineering V31n2(Feb 2005)pp137-149
    4. =TOOL RELATIONAL LOGIC RML BDD TECHNICAL PATTERN JAVA CrocoPat
    5. Faster recognition of patterns in class structures tested faster on real code: JDK AWT, Eclipse,... Than Prolog and MySQL.

    Bock05

    1. Conrad Bock
    2. UML 2 Activity and Action Models Part 6: Structured Activities
    3. JOT V4n3(May-Jun 2005) [ column4 ]
    4. =HOWTO UML2.0 STRUCTURE ACTIVITY interrupts exceptions

    Cohen04

    1. Jaques Cohen
    2. Bioinformatics: an Introduction for computer Scientists
    3. ACM Comput Surveys V36n2(Jun 2004)pp122-158
    4. =SURVEY BIOINFORMATICS BIOLOGY

    MaoVredenburgSmithCarey05

    1. Ji-Ye Mao & Karel Vredenburg & Paul W Smith & Tom Carey
    2. The state of User-centered Design Practice
    3. Commun ACM V48n3(Mar 2005)pp-
    4. =POLL DESIGNERS USER ISO13407
    5. UCD::="User Centered Design", multidisciplinary iterative (user; requirements; design; evaluation).
    6. More than 10% of project budget.
    7. Improves usefulness -- but measured how?
    8. Techniques select by cost-benefit thinking. Many methods.
    9. Notes

    Neumann05

    1. Peter G Neumann
    2. Anticipating Disasters
    3. Commun ACM V48n3(Mar 2005)p128
    4. =ESSAY RISKS PEOPLE ORGANIZATIONS
    5. Problems preparing for disasters
      1. plan responses based on the past disasters: after the horse has gone.
      2. optimizing for the short term by ignoring long term consequences.
      3. preparing for disaster feels bad.
      4. crying wolf.
      5. misreading the odds.

    SenSinha05

    1. Arun Sen & Atish P Sinha
    2. A Comparison of Data Warehousing Methodologies
    3. Commun ACM V48n3(Mar 2005)pp79-84
    4. =SURVEY 15 METHODS DATA for DECISIONS

    AnandalingamLucas05

    1. G Anandalingam & Henry C Lucas Jr
    2. The Winners Curse in High Tech
    3. IEEE Computer Magazine V38n3(Mar 2005)pp96-97
    4. =ADVERT BOOK HISTORY TECHNOLOGY ECONOMICS
    5. Companies often bid too much for a technology and get burned.
    6. Advertyises OUP 2004 book "Beware the Winner's Curse: Victories that can sink you and your company".

    SrinivasanKrishnaHolmes05

    1. Savitha Srinivasan & Vikas Krishna & Scott Holmes
    2. Web-Log-DRiven Business Activity Monitoring
    3. IEEE Computer Magazine V38n3(Mar 2005)pp61-68
    4. =DEMO BPM IBM BPT BAM WEB METRICS Almaden
    5. Stream lining and measuring international delivery process using the web to hold and access electronic paperless documentation.
    6. Fig 3 page 66: UML class diagram models the process elements that classify, store, and display documents.
    7. Table 1 page 68: numeric evidence of improvements in many measures of the process (faster + errors down).

    GaoHayesCai05

    1. Hong Tina Gao & Jane Huffman Hayes & Henry Cai
    2. Integrating Biological Research through Web Services
    3. IEEE Computer Magazine V38n3(Mar 2005)pp26-31
    4. =DEMO WEB SERVICES BIOINFORMATICS Drug discovery
    5. Combine many remote components to analyze data.
    6. Need standards.
    7. Helps if people split Model from View.

End