scholarly journals Closing the Feedback Loop in DevOps Through Autonomous Monitors in Operations

2021 ◽  
Vol 2 (6) ◽  
Author(s):  
Adha Hrusto ◽  
Per Runeson ◽  
Emelie Engström

AbstractDevOps represent the tight connection between development and operations. To address challenges that arise on the borderline between development and operations, we conducted a study in collaboration with a Swedish company responsible for ticket management and sales in public transportation. The aim of our study was to explore and describe the existing DevOps environment, as well as to identify how the feedback from operations can be improved, specifically with respect to the alerts sent from system operations. Our study complies with the basic principles of the design science paradigm, such as understanding and improving design solutions in the specific areas of practice. Our diagnosis, based on qualitative data collected through interviews and observations, shows that alert flooding is a challenge in the feedback loop, i.e. too much signals from operations create noise in the feedback loop. Therefore, we design a solution to improve the alert management by optimizing when to raise alerts and accordingly introducing a new element in the feedback loop, a smart filter. Moreover, we implemented a prototype of the proposed solution design and showed that a tighter relation between operations and development can be achieved, using a hybrid method which combines rule-based and unsupervised machine learning for operations data analysis.

2018 ◽  
Vol 25 (9-10) ◽  
pp. 1085-1090 ◽  
Author(s):  
Leo A. Mallette ◽  
Johnny Saldaña

The purpose of this article is to describe the use of a party game, adapted by the two authors, to teach qualitative data analysis in consulting and classroom settings. The value of this exercise lies in its narrative construction outcomes. Qualitative methodologists frequently advise students to find the story of their study, but that task is often elusive given the overwhelming magnitude of data collected, and research novices often have difficulty grasping basic principles of qualitative analysis. Games are metaphors for life, and the activity described here and other games reviewed in this article are metaphors for the disparate and sometimes idiosyncratic data we collect in the field, and how we must pattern, unify, and make interpretive sense of them by constructing plausible organizational arrays and interrelationships. Flavor bites and dialogue from the participants attest that these are positive and beneficial learning exercises.


2021 ◽  
Author(s):  
Peter Baumgartner ◽  
Amanda Smith ◽  
Murrey Olmsted ◽  
Dawn Ohse

Open-ended survey questions provide qualitative data that are useful for a multitude of reasons. However, qualitative data analysis is labor intensive, and researchers often lack the needed time and resources resulting in underutilization of qualitative data. In attempting to address these issues, we looked to machine learning and recent advances in language models and transfer learning to assist in qualitative coding of responses. We trained a machine learning model following the BERT architecture to predict thematic codes that were then adjudicated by human coders. Results suggest this is a promising approach that can be used to support traditional coding methods and has the potential to alleviate some of the burden associated with qualitative data analysis.


Author(s):  
Heather Churchill ◽  
Jeremy M. Ridenour

Abstract. Assessing change during long-term psychotherapy can be a challenging and uncertain task. Psychological assessments can be a valuable tool and can offer a perspective from outside the therapy dyad, independent of the powerful and distorting influences of transference and countertransference. Subtle structural changes that may not yet have manifested behaviorally can also be assessed. However, it can be difficult to find a balance between a rigorous, systematic approach to data, while also allowing for the richness of the patient’s internal world to emerge. In this article, the authors discuss a primarily qualitative approach to the data and demonstrate the ways in which this kind of approach can deepen the understanding of the more subtle or complex changes a particular patient is undergoing while in treatment, as well as provide more detail about the nature of an individual’s internal world. The authors also outline several developmental frameworks that focus on the ways a patient constructs their reality and can guide the interpretation of qualitative data. The authors then analyze testing data from a patient in long-term psychoanalytically oriented psychotherapy in order to demonstrate an approach to data analysis and to show an example of how change can unfold over long-term treatments.


Author(s):  
Padmavathi .S ◽  
M. Chidambaram

Text classification has grown into more significant in managing and organizing the text data due to tremendous growth of online information. It does classification of documents in to fixed number of predefined categories. Rule based approach and Machine learning approach are the two ways of text classification. In rule based approach, classification of documents is done based on manually defined rules. In Machine learning based approach, classification rules or classifier are defined automatically using example documents. It has higher recall and quick process. This paper shows an investigation on text classification utilizing different machine learning techniques.


Author(s):  
Diah Fauzi Ningtyas ◽  
Lidiman Sinaga

This study concerns on improving students’ achievement in writing procedure texts through word webbing technique. The research was conducted by using Classroom Action Research (CAR). The population was the 2012-2013 nine grade students of SMP Negeri 1 Batang Kuis. The number of students was 36, consisting of 21 females and 15 males. The procedure of the research was administrated into two cycles where each cycle consisted of three meetings. Each meeting included four steps namely: planning, action, observation, and reflection. There were two kinds of data collected during the study, qualitative and quantitative data. The instrument for collecting the quantitative data was the writing of procedure texts test while the qualitative data were gathered by using interview, diary notes and observation sheet. Based on the data analysis, the mean of students’ score in Test I was 53,47, for the Test II was 63,05, and for the Test III was 75 The qualitative data showed that the students were interested in the applying of Word webbing Technique. The conclusion is that Word Webbing Technique in writing Procedure Texts improves the students’ achievement in writing procedure texts. Keywords: Students’ achievement, writing, procedure text, word webbing


2018 ◽  
Vol 2 (2) ◽  
pp. 72
Author(s):  
Eka Saraswati ◽  
Devi Novallyan

Tujuan dari penelitian ini adalah mengembangkan media pembelajaran interaktif berbasis android untuk memudahkan pemahaman konsep trigonometri. Penelitian ini merupakan penelitian pengembangan dengan pendekatan kualitatif yang didukung data kuantitatif. Model Pengembangan yang digunakan yaitu ADDIE. Karya inovasi ini dibuat dengan macromediaflash 8. Subjek dalam penelitian ini terdiri dari 8 siswa pada ujicoba kelompok kecil dan 30 siswa pada ujicoba kelompok besar. Teknik pengumpulan data yang digunakan yaitu angket dan wawancara. Teknik analisis data kualitatif dengan menggunakan model Miles Huberman.Hasilpengembangan diperoleh sebuah media pembelajaran yang dapat membantu siswa untuk mempermudah mengingat rumus trigonometri. Kata kunci: Media pembelajaran, android, konsep trigonometri Abstract [The Development of Interactive Android Based Learning Media to Facilitate Understanding of Trigonometric Concepts]. The purpose of this research is to develop interactive android based learning media to facilitate understanding of trigonometric concepts. This research is a development research with qualitative approach supported by quantitative data. Development model used is ADDIE. The innovation work was made with Macromedia Flash 8. The subjects in this study consisted of 8 students on a small group trial and 30 students on a large group trial. Data collection techniques used questionnaires and interviews. Qualitative data analysis technique using Miles Huberman model. The results of the development obtained a learning media that can help students to simplify remembering the trigonometric formula. Keywords: Learning media, android, the concept of trigonometry


2018 ◽  
Vol 2 (2) ◽  
pp. 210-220
Author(s):  
Wendelinus Oscar Janggo ◽  
Yuliana Wisnawati Nona Nungsi

This research is entitled “The Effectiveness of Using Cooperative Script Method to Improve Students’ Reading Comprehension on Recount Text of 8th Grade Students of SMP N Kewapante, Maumere in Academic Year 2017/ 2018”. The objective of this research is to investigate and to find out whether the use of cooperative script method effective to improve students’ reading comprehension on recount text. The method of this research is experimental research especially quasi experimental research. In analyzing the data, the researcher combined both quantitative and qualitative data analysis. In qualitative data analysis, the researcher used interview technique in order to get information about students’ perceptions in reading, while in quantitative data analysis, the researcher used SPSS version 16. The result of the research showed that the implementation of Cooperative Script Method in experimental class was more effective to help the students in reading comprehension on recount text compared to the use of the conventional method in control class of the eighth grade students of SMP N Kewapante, Maumere. It is also found that cooperative script method positively contributed to improve students’ reading comprehension. Therefore ,the researcher  suggests the teachers to use cooperative script method in order to improve students reading comprehension Additionally, cooperative script method can also motivate students to be more active, relax and enthusiastic to comprehend reading texts.


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