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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Cheng, J., Goodrum, M., Metoyer, R., & Cleland-Huang, J. (2018, May). How do practitioners perceive assurance cases in safety-critical software systems? [Paper]. 11th ACM/IEEE International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE 2018), Gothenburg, Sweden. External link
Cleland-Huang, J., Czauderna, A., Dekhtyar, A. M., Gotel, O. C. Z., Hayes, J. H., Keenan, E. L., Leach, G., Maletic, J. I., Poshyvanyk, D., Shin, Y., Zisman, A., Antoniol, G., Berenbach, B., Egyed, A., Czauderna, A., & Maeder, P. (2011, May). Grand challenges, benchmarks, and TraceLab: developing infrastructure for the software traceability research community [Paper]. 6th International Workshop on Traceability in Emerging Forms of Software Engineering (TEFSE 2011), Waikiki, Honolulu, HI, USA. External link
Dekhtyar, A., Hayes, J. H., Hadar, I., Combs, E., Ferrari, A., Gregory, S., Horkoff, J., Levy, M., Nayebi, M., Paech, B., Payne, J., Primrose, M., Spoletini, P., Clarke, S., Brophy, C., Amyot, D., Maalej, W., Ruhe, G., Cleland-Huang, J., & Zowghi, D. (2019). Requirements engineering (RE) for social good: RE cares [requirements]. IEEE Software, 36(1), 86-90, 94-86-90, 94. External link
Goodrum, M., Cleland-Huang, J., Lutz, R., Cheng, J., & Metoyer, R. (2017, September). What requirements knowledge do developers need to manage change in safety-critical systems? [Paper]. 25th IEEE International Requirements Engineering Conference (RE 2017), Lisbon, Portugal. External link
Gotel, O., Cleland-Huang, J., Hayes, J. H., Zisman, A., Egyed, A., Grünbacher, P., Dekhtyar, A., Antoniol, G., & Maletic, J. I. (2012). The Grand Challenge of Traceability (v1.0). In Software and Systems Traceability (pp. 343-409). External link
Gotel, O., Cleland-Huang, J., Hayes, J. H., Zisman, A., Egyed, A., Grünbacher, P., Dekhtyar, A., Antoniol, G., Maletic, J. I., & Mäder, P. (2012). Traceability Fundamentals. In Software and Systems Traceability (pp. 3-22). External link
Maletic, J. I., Antoniol, G., Cleland-Huang, J., & Hayes, J. H. (2005, November). 3rd international workshop on traceability in emerging forms of software engineering (TEFSE 2005) [Paper]. 20th IEEE/ACM international Conference on Automated software engineering (ASE 2005), Long Beach, CA, USA. External link
Vierhauser, M., Bayley, S., Wyngaard, J., Xiong, W., Cheng, J., Huseman, J., Lutz, R. R., & Cleland-Huang, J. (2021). Interlocking Safety Cases for Unmanned Autonomous Systems in Shared Airspaces. IEEE Transactions on Software Engineering, 47(5), 899-918. External link
Vierhauser, M., Bayley, S., Wyngaard, J., Cheng, J., Xiong, W., Lutz, R., Huseman, J., & Cleland-Huang, J. (2018, May). Interlocking safety cases for unmanned autonomous systems in urban environments [Paper]. 40th IEEE/ACM International Conference on Software Engineering - Companion (ICSE-Companion 2018), Gothenburg, Sweden. External link
