Web Metrics— Estimating and Authoring Effort

Like any softwareprocess, Webapplicationdevelopment wouldbenefit from early-stage effortestimates. Using anundergraduateuniversity course as acase study, wecollected metricscorresponding toWeb applications,developers, andtools. Then we usedthose metrics togenerate models forpredicting designand authoring effortfor future Webapplications.

[1]  Ingunn Myrtveit,et al.  A Controlled Experiment to Assess the Benefits of Estimating with Analogy and Regression Models , 1999, IEEE Trans. Software Eng..

[2]  Cornelia Boldyreff,et al.  The evolution of Websites , 1999, Proceedings Seventh International Workshop on Program Comprehension.

[3]  Peter J. Brown.  Creating Educational Hyperdocuments: Can It Be Economic? , 1995 .

[4]  Dimitris Christodoulakis,et al.  Measuring the readability and maintainability of hyperdocuments , 1995, J. Softw. Maintenance Res. Pract..

[5]  B. Bowerman.  Statistical Design and Analysis of Experiments, with Applications to Engineering and Science , 1989 .

[6]  Stephen G. MacDonell,et al.  Metric selection for effort assessment in multimedia systems development , 1998, Proceedings Fifth International Software Metrics Symposium. Metrics (Cat. No.98TB100262).

[7]  Barbara A. Kitchenham,et al.  Effort estimation using analogy , 1996, Proceedings of IEEE 18th International Conference on Software Engineering.