Demo Data from EDBT 2026 / reviewers in the wild / expert
Yuji Hirayama
dblp:67/5222
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1997
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Software engineering, system software, and programming languages
1 paper |
Empirical software engineering · 44% Requirements engineering and software design · 44% Software testing · 13% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Requirements engineering and software design › software process
software process modeling |
0.0 | 1 | 1997 | A New Software Project Simulator Based on Generalized Stochastic Petri-net · ICSE 1997 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.0generalized stochastic petri nets · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | A New Software Project Simulator Based on Generalized Stochastic Petri-netabstractIn this paper, we propose a new model for software projects and an estimation method for the quality, cost and delivery date.The new model consists of Project model and Process model.Project model focuses on three key components: activity, product and developer of the project.Process model includes a set of Activity models, each of which specifies design, coding, review, test, and debug activities respectively using GSPN.Moreover, the new model can take the influence of human factors into account by introducing the concept of "workload".Next, we develop a simulator which supports description of the target process, executes the process described by Activity model and analyses the simulation results statistically.Then, we apply the simulator to real software projects at certain organization and compare the estimated values with actual data.The experimental results show the applicability of the proposed simulator to manage real software project in the future. Shinji Kusumoto, Osamu Mizuno, Tohru Kikuno, Yuji Hirayama, Yasunari Takagi, Keishi Sakamoto |
ICSE | 4 |