Journal of Systems and Software
ISSN: 0164-1212
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Datasets associated with articles published in Journal of Systems and Software
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Statistical Data and Experimental Artifacts
Data Types:
  • Dataset
  • File Set
Results of small user experiment within the article
Data Types:
  • Tabular Data
  • Dataset
Papers found in literature through manual and automatic search and list of papers selected for the systematic mapping study on end-user development, end-user programming and end-user software engineering.
Data Types:
  • Tabular Data
  • Dataset
The data is about the behaviors and activities of how participants use the CoRE system (http://core.cs.iastate.edu) and attack the system, such as clicking the buttons and links, filling out a form on the website, submitting request to the system server and searching information about the system. There are two spreadsheets, data of the first-round experiment and data of the second-round experiment. In each spreadsheet, there are two sheets, "raw records" and "processed data". In the sheet of raw records, each row is a snapshot of user’s action and system context information when the user performed an operation on the CoRE system. Each raw record has the following information: (1) Time: the time point when the user performs an operation; (2) Login ID: user’s login ID provided by the CoRE system; (4) Action: including mouse click on a button or a link, and selection on a drop-down menu; (5) Page: the current webpage where the action occurs; (6) Next Page: the next page that the system will be directed to; (7) Content: contents on the webpage (user’s submitted input, system’s responses to the user’s action); (8) Goal: users' self-reported goal. The processed data is processed from the raw records. Each row in the sheet of processed data has the follwoing information: (1) Observation: including user's action and content in the raw records; (2) Time Interval: the time interval between the time points of user's consecutive actions; (3) Goal: users' self-reported goal.
Data Types:
  • Tabular Data
  • Dataset
This dataset was gathered by us from three software houses. This is real-life dataset. Use Case points method as originated by Karner was used for counting a steps or number of actors. Attributes are used as follows: Project_No - only project ID for identification purposes Simple Actors - Number of actor classify according UCP - simple actors. Average Actors - Number of actor classify according UCP - average actors. Complex Actors - Number of actor classify according UCP - complex actors. UAW - Unadjusted Actor weight, computed by using UCP equation. Simple UC - Number of use cases classified as simple - UCP number of steps is used. Average UC - Number of use cases classified as average - UCP number of steps is used. Complex UC - Number of use cases classified as complex - UCP number of steps is used. UUCW - Unadjusted UseCase Weight - computed by using UCP equation. TCF - Technical Complexity Factor ECF - Enviromental Complexity Factors Real_P20 - Real_P20 - Real Effort in Person hours, decided by productivity factor (PF = 20). Real_Effort_Person_Hours - Real Effort (development time) in person-hours. Sector - Problem domain of project Language - Programming language used for project. Methodology - Development methodology used for project development. ApplicationType - Classification of project type - provided by donator. DataDonator - anonymized acronym for data donator.
Data Types:
  • Tabular Data
  • Dataset