Numerous methods exist to model and analyze the different roles, responsibilities, and process levels of information technology (IT) personnel. However, most methods neglect to account for the rigorous application and evaluation of human errors and their associated risks. This book fills that need. Modeling, Evaluating, and Predicting IT Human Resources Performance explains why it is essential to account for the human factor when determining the various risks in the software engineering process. The book presents an IT human resources evaluation approach that is rooted in existing research and describes how to enhance existing approaches through strict use of software measurement and statistical principles and criteria. Discussing IT human factors from a risk assessment point of view, the book identifies, analyzes, and evaluates the basics of IT human performance. It details the IT human factors required to achieve desired levels of human performance prediction. It also provides a rigorous investigation of existing human factors evaluation methods, including IT expertise and Big Five, in combination with powerful statistical methods, such as failure mode and effect analysis (FMEA) and design of experiment (DoE). Supplies an overview of existing methods of human risk evaluation Provides a detailed analysis of IT role-based human factors using the well-known Big Five method for software engineering Models the human factor as a risk factor in the software engineering process Summarizes emerging trends and future directions In addition to applying well-known human factors methods to software engineering, the book presents three models for analyzing psychological characteristics. It supplies profound analysis of human resources within the various software processes, including development, maintenance, and application under consideration of the Capability Maturity Model Integration (CMMI) process level five.

Since 1990 the International Workshop on Software Measurement (IWSM) has been celebrated annually in Montr eal (Qu ebec), Canada, and di?erent places all over Germany by turns. The Montr eal editions were organized by the Soft- 1 ware Engineering Research Laboratory (GELOG) of the Ecole de technologie sup erieure (ETS) at the University of Qu ebec at Montr eal (UQAM), which is directed by Professor Alain Abran. The German editions were organized 2 jointly by the Software Measurement Laboratory (SMLAB) of the Otto-von- Guericke-UniversityMagdeburg, Germany, whichisdirectedbyProfessorReiner R. Dumke; and the German-speaking user association for software metrics and 3 e?ort estimation (DASMA e. V.) . Partially, the editions of IWSM were held jointly with the DASMA Software Metrik Kongress (MetriKon). 4 Organized by an initiative of Jos e Javier Dolado from the University of 5 the Basque Country at San Sebastian and Juan J. Cuadrado-Gallego from the University of Alcal a in Madrid the ?rst edition of the International Conference onSoftwareMeasurement(Mensura) couldbe convenedin C adiz, Spainin 2006. Motivated by this success and with the ?rst edition of Mensura ?nding special approval, the organizers of IWSM and Mensura decided to complement each other and, thus, to organize the next conference edition together. In November 2007, the typical convention month for both conferences, that joint conference was held in Palma de Mallorca, Spain."

Since 1990 the International Workshop on Software Measurement (IWSM)has th been held annually and is now in its 19 edition. The International Conference on Software Process and Product Measurement (Mensura) was initiated in 2006 and is now in its third edition. The editions of IWSM/Mensura have been c- bined since 2007 to foster research, practice and exchange of experiences and best practices in software processes and products measurement. The 2009 e- tionswereheldduringNovember4-6,2009inAmsterdam, organizedjointlywith 1 The Netherlands Association for Software Measurement (NESMA) and kindly 2 hosted by Hogeschool van Amsterdam . Today the pressure for more e?cient software development processes del- ering appropriate quality is constantly increasing. But who knows how e?cient one's own current development process actually is and whether the quality of delivered products is really appropriate? Did we substantially improve with all the improvement e?ort spent? How can we answer all these questions if not by measuring both software processes and software products? Softwaremeasurement is a key technologywith which to manageand to c- trol software development projects. Measurement is essential of any engineering activity, by increasing the scienti?c and technical knowledge for both the pr- tice of software development and for empirical research in software technology. IWSM/MENSURAfacilitatestheexchangeofsoftwaremeasurementexperiences between theory and practice. Softwareprocessevaluationandimprovementrequirequanti?edmethodsand technologies. Issues such as the applicability of measures and metrics to so- ware, the e?ciency of measurement programs in industry and the theoretical foundations of software engineering have been researched in order to evaluate and improve modern software development approaches.

Since 1990 the International Workshop on Software Measurement (IWSM)has beencelebratedannuallyalternatingbetweenMontr eal(Canada)andvariouscities acrossGermany.TheMontr ealeditionshavebeenorganizedbytheSoftwareEn- 1 gineeringResearchLaboratory(GELOG) oftheEcoledetechnologiesup erieure- UniversiteduQu ebec, whichisdirectedbyProf.AlainAbran.TheGermaneditions 2 havebeenorganizedjointlybytheSoftwareMeasurementLaboratory(SMLAB) ofthe Otto vonGuerickeUniversityMagdeburg(Germany), whichis directedby Prof.Reiner R. Dumke; and the Germanassociationfor software metrics and ef- 3 fortestimation(DASMAe.V.), whichisledbyManfredBundschuhandGun ] ter B] uren.ThebiennialeditionsofIWSMinGermanyhasbeenheldjointlywiththe 4 DASMASoftwareMetricsCongress(MetriKon) since2002.MetriKonisayearly event, conductedeveryotheryearforaGerman-speakingaudienceatchanging- tionallocationsforbest-practicesharingofsoftwaremeasurementtopics, bringing thebestandrenownedGerman-speakingexpertsofthe?eldtogether. The?rsttwoeditionsoftheInternationalConferenceonSoftwareProcessand 5 Product Measurement(Mensura) were organizedby Juan J. Cuadrado-Gallego from the University of Alcal a (Spain) and convened in C adiz (Spain) in 2006 together with IWSM in Palma de Mallorca (Spain) in 2007. To foster research, practiceandexchangeofexperiencesandbestpracticesinsoftwareprocessesand product measurement, the 2008 editions of IWSM / MetriKon / Mensura were combined. The conferences were held during November 18-20, 2008 in Munich (Germany) and kindly hosted by Siemens AG. ThisvolumecomprisestheproceedingsofIWSM/MetriKon/Mensura2008 and consistsofthe ?nal paperspresentedat these joint events.Eachone of these papers has been thoroughly revised and extended in order to be accepted for publication. The IWSM / MetriKon / Mensura Steering Committee is proud to have-once more-obtainedthe approvalof Springer to publish the second edition of the joint conference proceedings in the prestigiousLecture Notes in Computer Science (LNCS) series. We hope to maintain this collaboration for the future editions of these joint events."

Numerous methods exist to model and analyze the different roles, responsibilities, and process levels of information technology (IT) personnel. However, most methods neglect to account for the rigorous application and evaluation of human errors and their associated risks. This book fills that need. Modeling, Evaluating, and Predicting IT Human Resources Performance explains why it is essential to account for the human factor when determining the various risks in the software engineering process. The book presents an IT human resources evaluation approach that is rooted in existing research and describes how to enhance existing approaches through strict use of software measurement and statistical principles and criteria. Discussing IT human factors from a risk assessment point of view, the book identifies, analyzes, and evaluates the basics of IT human performance. It details the IT human factors required to achieve desired levels of human performance prediction. It also provides a rigorous investigation of existing human factors evaluation methods, including IT expertise and Big Five, in combination with powerful statistical methods, such as failure mode and effect analysis (FMEA) and design of experiment (DoE). Supplies an overview of existing methods of human risk evaluation Provides a detailed analysis of IT role-based human factors using the well-known Big Five method for software engineering Models the human factor as a risk factor in the software engineering process Summarizes emerging trends and future directions In addition to applying well-known human factors methods to software engineering, the book presents three models for analyzing psychological characteristics. It supplies profound analysis of human resources within the various software processes, including development, maintenance, and application under consideration of the Capability Maturity Model Integration (CMMI) process level five.