IMPROVING SOFTWARE PRODUCTIVITY USING LEAN SIX SIGMA METHODS AND TOOLS ABSTRACT Kevin

Although equations and models have existed for some time, the means to easily apply this knowledge to software product development to improve productivity have been long in coming. Macro tools such as Crystal Ball ® software provide an excellent way to achieve software productivity aims. This was accomplished by modeling software development effort, effects due to software size and complexity as well as quality issues against a schedule constraint. As a Six Sigma project, a software spiral build cycle was modeled as the baseline. After doing a diagnostic/root cause analysis, various methods were identified that could effect improvement in software productivity such as more testing, improved peer reviews (PR), and reducing software complexity. The first improvement for the next build cycle focused on improving the peer review process. Crystal Ball was used to predict the impact of this change on productivity and in reducing the Cost of Poor Quality. Results on the Weather Data Analysis Capability (WDAC) program as of this posting were improvement in productivity by 25%, reduction in rework by 57 % and reduction in cost due to poor quality by over $250K / build or$1M over two years for this particular contract. Recent results from the Joint Environmental Toolkit (JET) program have been over $336K per build so far.

Umstellung bestehender galvanotechnischer Anlagen auf eine stoffverlustminimierte Prozesstechnik bei gleichzeitiger Kostensenkung. Teilvorhaben 2: Wirtschaftlichkeitsuntersuchungen Endbericht

Available from TIB Hannover: F03B1242+a / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekSIGLEBundesministerium fuer Bildung und Forschung, Berlin (Germany)DEGerman

Categories and Subject Descriptors K.3.1 [Computer Uses in Education]: Distance learning General Terms

This paper addresses interoperability issues of learning content management systems. Motivation and design challenges are presented and an interoperability framework implemented at the Universal Brokerage Platform for learning resources is specified

Smart Maintenance

Für die industrielle Produktion haben sich im Verlauf der letzten Jahrzehnte einige Tendenzen ausgebildet, die umfangreiche Veränderungen hervorrufen werden. Die momentane Entwicklung ist vor allem durch die zunehmende Dynamik der Produktlebenszyklen und die Durchdringung industrieller Wertschöpfung mit neuen Technologien geprägt. Hierfür ist die hoch flexible, verfügbare und zuverlässige Produktion zwingende Voraussetzung. Zur Bewältigung dieser Herausforderungen der Industrie 4.0 steht die Smart Factory im Mittelpunkt. Intelligente digital anschlussfähige Maschinen und Produkte sind miteinander vernetzt und können aktiv kommunizieren. Dadurch werden Anlagen technisch immer komplexer und neue Kommunikationssysteme immer umfangreicher. [https://link.springer.com/chapter/10.1007/978-3-662-53135-8_24

Contributors Name Institution

First version- Document has been split into main document and appendices- Updated figures with state of the network- Added sections 4.10 and 4.11 describing DRM and cultural heritage standards- Added information about mappings Ricardo Conejo Universidad de Málaga, Spain (externa